IISA 2021 Conference
IISA 2021 Conference

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Statistics in the Era of Evidence Based Inference

May 20 - 23, 2021

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  • Day 1 - May 20th, 2021
  • Day 2 - May 21st, 2021
  • Day 3 - May 22nd, 2021
  • Day 4 - May 23rd, 2021

Day 1 Agenda : ( US Central time )

  • 08:00 - 08:30

  • Conference Inaugaration

    Wayne H. Giles, Dean, School of Public Health, University of Illinois Chicago, Ansu Chatterjee, School of Statistics, University of Minnesota, Saonli Basu, Division of Biostatistics, University of Minnesota

    Chair : Sanjib Basu, School of Public Health, University of Illinois Chicago

    Venue : Room A

  • 08:30 - 09:30

  • Plenary Session

    Plenary Lecture 1, Nilanjan Chatterjee, Johns Hopkins University

    Chair : Saonli Basu

    Venue : Room A

    Individualized Risk Prediction: Lessons from Genetics and COVID-19 Nilanjan Chatterjee, 615 N WOLFE ST, Suite E3527,Johns Hopkins University Jin Jin, Johns Hopkins University Prosenjit Kundu, Johns Hopkins University Neha Agarwala, University of Maryland Haoyu Zhang, Harvard University

  • 09:45 - 11:00

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 1 New Advances in Estimands for the treatment effect in clinical trials

    Hakeem Wahab, Statistics, Purdue University, Ilya Lipkovich, Real world analytics,Eli Lilly and Company, Yongming Qu, Department of Data and Analytics, Eli Lilly and Company

    Chair : Shanthi Sethuraman, Eli Lilly and Company

    Organizer : Shanthi Sethuraman, Eli Lilly and Company

    Venue : Room 1

    New Perspectives on Causal Inference in Clinical Trials With Multiple Endpoints, Repeated Measures and Subject Non-Adherence Hakeem Wahab, Statistics, Purdue University Stephen Ruberg, Analytix Thinking Hege Michiels, Ghent University Arman Sabbaghi, Purdue University

    Causal inference and estimands in clinical trials Ilya Lipkovich, Real world analytics,Eli Lilly and Company Bohdana Ratitch, Bayer Craig Mallinckrodt, Biogen Idec

    Recent advances in defining estimands and imputation of missing data in clinical trials Yongming QU, Department of Data and Analytics,Eli Lilly and Company

    IS 2 Recent advances in adaptive design clinical trials

    Greg Cicconetti, Teri Anderson, AbbVie, Tianyu Zhan, Data and Statistical Sciences, AbbVie Inc., Pranab Ghosh, Biostatistics,Pfizer Inc.

    Chair : Madan Kundu, Daiichi Sankyo Inc

    Organizer : Madan Kundu, Daiichi Sankyo Inc

    Venue : Room 2

    Simulation Practices for Adaptive Clinical Trial Design in Drug and Device Development Greg Cicconetti, Teri Anderson, AbbVie

    A practical Response Adaptive Block Randomization (RABR) design with analytic type I error protection Tianyu Zhan, Data and Statistical Sciences, AbbVie Inc.,Data and Statistical Sciences, AbbVie Inc

    Adaptive Multi-Arm Multi-Stage Design Pranab Ghosh, Biostatistics, Pfizer Inc.

    IS 3 Big Data and Modern Designs

    Arman Sabbaghi, Purdue University Department of Statistics, Jie Yang, Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago, Ping Ma, Statistics, University of Georgia

    Chair : Dibyen Majumdar, Math., Stat. and Comp., Sci, UIC,University of Illinois at Chicago

    Organizer : Abhyuday Mandal, University of Georgia

    Venue : Room 3

    Collaborative Design for Improved Causal Machine Learning on Big Observational Data Arman Sabbaghi, Purdue University Department of Statistics, Purdue University Department of Statistics Yumin Zhang, Purdue University Department of Statistics

    Score-Matching Representative Approach for Big Data Analysis with Generalized Linear Models Jie Yang, Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago Keren Li, Northwestern University

    Statistical Computing Meets Quantum Computing Ping Ma, Statistics, University of Georgia

    IS 4 Statistical methods and applications to problems related to management

    Sujay Mukhoti, Operations Management and Quantitative Techniques, Indian Institute of Management Indore, Arkaprava Roy, University Of Florida, Bikram Karmakar, Statistics, University Of Florida

    Chair : Karthik Sriram, Indian Institute of Management Ahmedabad,India

    Organizer : Karthik Sriram, Indian Institute of Management Ahmedabad,India

    Venue : Room 4

    Distribution free estimation of optimal order quantity for a newsboy Sujay Mukhoti, Operations Management and Quantitative Techniques, Indian Institute of Management Indore

    Bayesian time-aligned factor analysis of paired multivariate time series Arkaprava Roy, Arkaprava Roy, University Of Florida David Dunson, Duke University Jana Schaich-Borg, Duke University

    Reinforced designs: Multiple instruments plus control groups as evidence factors in an observational study Bikram Karmakar, Statistics, University Of Florida Dylan S. Small, University Of Pennsylvania Paul R. Rosenbaum, University Of Pennsylvania

    IS 5 On Some Recent Advances in Nonparametric Statistics

    Adityanand Guntuboyina, Statistics, University Of California Berkeley, Arun Kuchibhotla, Department Of Statistics And Data Science, Carnegie Mellon University, Rohit Patra, Department Of Statistics, University Of Florida

    Chair : Bodhisattva Sen, Columbia University

    Organizer : Bodhisattva Sen, Columbia University

    Venue : Room 5

    Convex Regression in High Dimensions Adityanand Guntuboyina, Statistics, University Of California Berkeley Gil Kur, Massachusetts Institute Of Technology Fuchang Gao, University Of Idaho Bodhisattva Sen, Columbia University

    Refined Maximal Inequalities with Applications to Oracle Inequalities Arun Kuchibhotla, Department Of Statistics And Data Science, Carnegie Mellon University

    Least Squares Estimation of a Monotone Quasiconvex Regression Function Rohit Patra, Department Of Statistics, University Of Florida Somabha Mukherjee, University Of Pennsylvania Andrew L Jhonson, Amazon Hiroshi Morita, Osaka University

    IS 6 Advancements in spatio-temporal modeling under big-data framework

    Stefano Castruccio, University Of Notre Dame, Yawen Guan, Statistics, University Of Nebraska - Lincoln, Rajarshi Guhaniyogi, Statistics, UC Santa Cruz

    Chair : Indranil Sahoo, Virginia Commonwealth University

    Organizer : Indranil Sahoo, Virginia Commonwealth University

    Venue : Room 6

    Stochastic Generators with Global Spatio-Temporal Locally Diffusive SPDE Models Stefano Castruccio, University Of Notre Dame Geir-Arne Fuglstad, Norwegian University Of Science And Technology

    Multivariate spectral downscaling for PM2.5 species Yawen Guan, Statistics, University Of Nebraska - Lincoln Brian J Reich, North Carolina State University James A Mulholland, Georgia Tech Howard H Chang, Emory University

    Computing models with big data: privacy consideration, distributed implementation Rajarshi Guhaniyogi, Statistics, UC Santa Cruz

  • 11:15 - 12:30

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 7 Big Data and Advanced Analytics in Pharmaceutical Development

    Melvin Munsaka, Statistical Sciences, AbbVie, Hongwei Wang, Global Medical Affairs Statistics, AbbVie, Yunzhao Xing, Data and Statistical Science, AbbVie

    Chair : Li Wang, Data and Statistical Sciences, AbbVie

    Organizer : Haoda Fu, AbbVie

    Venue : Room 1

    Visual Analytics, Big Data, and Drug Safety with a Focus on Text Mining and Natural Language Processing Melvin Munsaka, Statistical Sciences, AbbVie Kefei Zhou, Bristol Myers Squibb Krishan Singh, Glaxosmithkline (Retired)

    Analytic framework for non-randomized single-arm clinical trials with external RWD control Hongwei Wang, Global Medical Affairs Statistics, AbbVie Yixin Fang, Abb Vie Weili He, Abb Vie

    Advanced Machine Learning to Predict Enrollment to Expedite Clinical Trials Yunzhao Xing, Data and Statistical Science, AbbVie Li Wang, AbbVie

    IS 8 Data Visualization

    Abigail Sloan, Biostatistics, Pfizer, Cathleen Jewell, Clinical Analytics, AbbVie, Mallikarjuna Rettiganti, Neuroscience, Eli Lilly And Company

    Chair : Vipin Arora, Eli Lilly and Company

    Organizer : Vipin Arora, Eli Lilly and Company

    Venue : Room 2

    Effective use of Visual Analytics in Monitoring Clinical Trial Data Abigail Sloan, Biostatistics, Pfizer Anindita Banerjee, Pfizer

    On-demand safety and efficacy insights Cathleen Jewell, Clinical Analytics, AbbVie

    Techniques and methods for data visualization in clinical trials illustrated with examples Mallikarjuna Rettiganti, Neuroscience, Eli Lilly And Company Bochao Jia, Eli Lilly And Company Eric Wolf, Eli Lilly And Company Jakub Jedynak, Eli Lilly And Company

    IS 9 Advances in high-dimensional inference

    Xiaodong Li, Uc Davis/statistics, UC Davis, Ethan Anderes, Department of Statistics, University of California at Davis, Gourab Mukherjee, Department of Data Sciences & Operations, University of Southern California

    Chair : Debashis Paul, University of California, Davis

    Organizer : Debashis Paul, University of California, Davis

    Venue : Room 3

    Consistency of Spectral Clustering on Hierarchical Stochastic Block Models Xiaodong Li, Uc Davis/statistics, UC Davis Lihua Lei, Stanford University Xingmei Lou, UC Davis

    ODE backpropagation dynamics and reparameterization for high dimensional lensing inference from the CMB polarization Ethan Anderes, Department of Statistics, University of California at Davis

    Improved Nonparametric Empirical Bayes Estimation using Transfer Learning Gourab Mukherjee, Department of Data Sciences & Operations, University of Southern California

    IS 10 Survey Sampling and Small Area Estimation

    Jennifer Pajda-de Lao, Mathematics, Statistics, And Computer Science, University Of Illinois At Chicago, Emily Berg, Statistics, Iowa State University

    Chair : Min Yang, Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago

    Organizer : Jennifer Pajda-de Lao, University Of Illinois At Chicago

    Venue : Room 4

    Median-Unbiasedness in Finite Population Survey Sampling Jennifer Pajda-de Lao, Mathematics, Statistics, And Computer Science, University Of Illinois At Chicago A. S. Hedayat, University Of Illinois At Chicago

    Edge Selection for Graphical Models with Mixed Types under Informative Sampling Emily Berg, Statistics, Iowa State University Hao Sun, Iowa State University Zhengyuan Zhu, Iowa State University

    IS11 Recent Advances in High-Dimensional Time Series Analysis

    Sumanta Basu, Statistics and Data Science, Cornell Uniersity, Ali Shojaie, Biostatistics,University of Washington, Abolfazl Safikhani, University Of Florida, University Of Florida

    Chair : Abhirup Datta, Johns Hopkins University

    Organizer : Sumanta Basu, Cornell University

    Venue : Room 5

    Large Spectral Density Matrix Estimation by Thresholding Sumanta Basu, Statistics and Data Science,Cornell Uniersity

    Statistical Inference for Networks of Point Processes Ali Shojaie, Biostatistics,University of Washington

    Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models Abolfazl Safikhani, University Of Florida, University Of Florida Peiliang Bai, University Of Florida George Michailidis, University Of Florida

    IS 12 Statistical contributions from the field of Genetics

    Pratyaydipta Rudra, Statistics, Oklahoma State University, Ni Zhao, Johns Hopkins University, Assistant professor of Biostatistics, Qiongshi Lu, Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison

    Chair : Debashree Ray, Johns Hopkins University

    Organizer : Debashree Ray, Johns Hopkins University

    Venue : Room 6

    Kernel Distance Covariance Approach for Testing Association in Longitudinal Studies Pratyaydipta Rudra, Statistics, Oklahoma State University

    A Log–Linear Model for Inference on Bias in Microbiome Studies Ni Zhao, Johns Hopkins University, Assistant professor of Biostatistics Glen Satten, Emory University

    Fine-tuning genetic prediction models using marginal association statistics Qiongshi Lu, Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison

  • 12:30 - 13:00

  • Break

  • 13:00 - 14:30

  • Special Invited Sessions

    Special Invited Lecture 1, Siddhartha Chib and Michael Newton

    Siddhartha Chib, Olin Business School, Washington University in Saint Louis, Michael Newton, Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison

    Chair : Sanjay Chaudhuri, National University of Singapore

    Venue : Room B

    Bayesian Estimation and Comparison of Conditional Moment Models Siddhartha Chib, Olin Business School, Washington University in Saint Louis Minchul Shin, Federal Reserve Bank, Philadelphia Anna Simoni, CREST, CNRS, Ecole Polytechnique, Paris

    Empirical Bayes and the false discovery rate, revisited Michael Newton, Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison

    Special Invited Lecture 2, Mousumi Banerjee and Susan Paddock

    Mousumi Banerjee, Susan Paddock, Statistics and Methodology, NORC at the University of Chicago

    Chair : Pralay Mukhopadhyay, Department of Biometrics, Otsuka America Pharmaceuticals Inc

    Venue : Room C

    Statistical Issues and Challenges in Analyzing Data from a Quality Improvement Collaborative Mousumi Banerjee, Biostatistics, University of Michigan

    Causal Inference Under Interference in Dynamic Therapy Group Studies Susan Paddock, Statistics and Methodology, NORC at the University of Chicago Bing Han, RAND Corporation Lane Burgette, RAND Corporation

  • 14:45 - 16:00

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 13 New developments in Statistics

    Chen Zhen, Agricultural and Applied Economics,University of Georgia, Abhyuday Mandal, University Of Georgia, University Of Georgia

    Chair : Sanjay Chaudhuri, National University of Singapore

    Organizer : Gauri Sankar Datta, University Of Georgia, US Census Bureau

    Venue : Room 1

    Using Household and Retail Scanner Data to Inform Food and Nutrition Policy Chen Zhen, Agricultural and Applied Economics,University of Georgia Lan Mu, University of Georgia Gauri Datta, University of Georgia Chandra Dhakal, University of Georgia

    A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations Abhyuday Mandal, University Of Georgia, University Of Georgia Gauri S Datta, University Of Georgia Adrijo Chakraborty, U.S. Food And Drug Administration Shuchi Goyal, University Of California, Los Angeles

    Bayesian Hierarchical Spatial Models for Small Area Estimation Hee Cheol Chung, Department of Statistics,Texas A&M University Gauri Shankar Datta, University Of Georgia

    IS 14 Recent Advancement in Statistical and Computational Methods for Precision Medicine

    Haoda Fu, Eli Lilly and Company, Yixin Fang, Data and Statistical Sciences, AbbVie, Xin Huang, Discovery and Exploratory Statistics (DIVES), Data & Statistical Sciences, AbbVie Inc.

    Chair : Xin Huang, AbbVie

    Organizer : Xin Huang, AbbVie

    Venue : Room 2

    Examples and Stories: Computer Scientists and Statisticians What we need to learn from each other Haoda Fu, Eli Lilly and Company

    The two strategies in estimating the values of dynamic treatment regimes Yixin Fang, Data and Statistical Sciences, AbbVie

    Causal Machine Learning for predictive biomarker identification Xin Huang, Discovery and Exploratory Statistics (DIVES), Data & Statistical Sciences, AbbVie Inc.

    IS 15 Bayesian Machine Learning

    Robert Mcculloch, School Of Mathematical And Statistical Sciences, Arizona State, Qian Qin, School of Statistics, University of Minnesota, Xiao Li, Biostatistics, Medical College Of Wisconsin

    Chair : Purushottam Laud

    Organizer : Purushottam , Medical College of Wisconsin

    Venue : Room 3

    Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning Robert Mcculloch, School Of Mathematical And Statistical Sciences, Arizona State Purushottam Laud, Medical College Of Wisconsin Brent Logan, Medical College Of Wisconsin Rodney Sparapani, Medical College Of Wisconsin

    Convergence complexity analysis of MCMC algorithm Qian Qin, School of Statistics, University of Minnesota James P. Hobert, University of Florida

    Mixture cure rate models with BART Xiao Li, Biostatistics, Medical College Of Wisconsin Rodney Sparapani, Medical College Of Wisconsin Brent Logan, Medical College Of Wisconsin

    IS 16 Empirical Bayes Methodology

    Wenguang Sun, University Of Southern California, Session On Empirical Bayes Methodology, Bodhisattva Sen, Department Of Statistics, Columbia University, Will Fithian, Statistics, UC Berkeley, UC Berkeley Statistics

    Chair : Aditya Guntuboyina

    Organizer : Adityanand Guntuboyina, University of California Berkeley

    Venue : Room 4

    Improved Nonparametric Empirical Bayes Estimation By Transfer Learning Wenguang Sun, University Of Southern California, Session On Empirical Bayes Methodology Gourab Mukherjee, University Of Southern California Jiajun Luo, University Of Southern California

    Estimating an Unknown Multi-dimensional Prior from Heterogeneous Data via Nonparametric Maximum Likelihood Bodhisattva Sen, Department Of Statistics, Columbia University Jake Soloff, University Of California At Berkeley Adityanand Guntuboyina, University Of California At Berkeley

    Conditional calibration for FDR control under dependence Will Fithian, Statistics, UC Berkeley, UC Berkeley Statistics Lihua Lei, Stanford University

    IS 17 Recent Advances in Estimation theory

    Bhaswar Bhattacharya, Statistics, University Of Pennsylvania, Sabyasachi Chatterjee, Statistics, University Of Illinois At Urbana-champaign, Sumit Mukherjee, Columbia University

    Chair : Bhaswar Bhattacharya, Statistics,University of Pennsylvani

    Organizer : Gourab Mukherjee, Department of Data Sciences & Operations,University of Southern California

    Venue : Room 5

    Motif Estimation via Subgraph Sampling: The Fourth-Moment Phenomenon Bhaswar Bhattacharya, Statistics, University Of Pennsylvania Sayan Das, Columbia University Sumit Mukherjee, Columbia University

    Piecewise Polynomial Estimation on Grids by Dyadic CART and Optimal Regression Tree Sabyasachi Chatterjee, Statistics, University Of Illinois At Urbana-champaign Subhajit Goswami, Tata Institute Of Fundamental Research

    Global testing for dependent Bernoullis Sumit Mukherjee, Columbia University Nabarun Deb, Columbia University Rajarshi Mukherjee, Harvard University Ming Yuan, Columbia University

    IS 18 Methods for Single-cell and Microbiome Sequencing Data

    Ali Rahnavard, Biostatistics And Bioinformatics, George Washington University, Himel Mallick, Biostatistics And Research Decision Sciences, Merck Research Laboratories, Shrabanti Chowdhury, Genetics And Genomic Sciences, Icahn School Of Medicine At Mount Sinai

    Chair : Soutik Ghosal, NICHD/DIPHR

    Organizer : Himel Mallick, Biostatistics and Research Decision Sciences, Merck Research Laboratories

    Venue : Room 6

    Omics Community Detection using Multi-resolution Clustering Ali Rahnavard, Biostatistics And Bioinformatics, George Washington University Himel Mallick, Merck & Co., Inc. Suvo Chatterjee, National Institutes Of Health Bahar Sayoldin, George Mason University Keith A. Crandall, George Washington University

    Differential expression of single-cell RNA-seq data using Tweedie models Himel Mallick, Biostatistics And Research Decision Sciences, Merck Research Laboratories Suvo Chatterjee, National Institutes Of Health Shrabanti Chowdhury, Icahn School Of Medicine At Mount Sinai Sapatarshi Chatterjee, Eli Lilly & Company Ali Rahnavard, Stephanie Hicks, George Washington University, Johns Hopkins University

    Learning directed acyclic graphs based on single cell RNAseq data Shrabanti Chowdhury, Genetics And Genomic Sciences, Icahn School Of Medicine At Mount Sinai

    IS 19 Orphan and Rare Diseases

    Zailong Wang, AbbVie, Jeff Palmer, Early Clinical Development Statistics, Pfizer, Inc, Yannis Jemiai, Cytel

    Chair : Hrishikesh Kulkarni, Alexion Pharmaceuticals

    Organizer : Hrishikesh Kulkarni, Alexion Pharmaceuticals

    Venue : Room 7

    Statistical Considerations in Clinical Trial Design for Rare Diseases Zailong Wang, AbbVie Lanju Zhang, AbbVie

    The Role of Natural History Data in Rare Disease Clinical Development Jeff Palmer, Early Clinical Development Statistics, Pfizer, Inc

    Efficient Trial Design Selection in Rare Disease Clinical Development Yannis Jemiai, Cytel

  • 16:30 - 17:45

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 20 Emerging Statistical Innovations in Clinical Research

    Xiaotian Chen, Data and Statistical Science, AbbVie, David Ipe, Data and Statistical Science, AbbVie

    Chair : Li Wang, Data and Statistical Science, AbbVie

    Organizer : Saurabh Mukhopadhyay, Data and Statistical Science, AbbVie

    Venue : Room 1

    Digital endpoint development in atopic dermatitis clinical trials: using deep learning to quantify nocturnal scratch based on actigraphy data Xiaotian Chen, Data and Statistical Science, AbbVie Li Wang, Data and Statistical Science, AbbVie

    Bayesian Interim Decision Strategy in Phase III Time-To-Event Study David Ipe, Data and Statistical Science, AbbVie Saurabh Mukhopadhyay, Data and Statistical Science, AbbVie

    Discussant: Saurabh Mukhopadhyay, Data and Statistical Science, AbbVie

    IS 21 Exchangeability and its applications in Clinical trials

    Emily Zabor, Department Of Quantitative Health Sciences, Cleveland Clinic, Matthew Psioda, Department of Biostatistics,Department of Biostatistics, Alexander Kaizer, Biostatistics And Informatics, University Of Colorado-Anschutz Medical Campus

    Chair : Tanujit Dey, Brigham and Women’s Hospital, Harvard Medical School

    Organizer : Tanujit Dey, Brigham and Women’s Hospital, Harvard Medical School

    Venue : Room 2

    Bayesian Basket Trial Design with False Discovery Rate Control Emily Zabor, Department Of Quantitative Health Sciences, Cleveland Clinic Brian Hobbs, The University Of Texas At Austin Michael Kane, Yale University Satrajit Roychoudhury, Pfizer, Inc Lei Ni, U.S. Food And Drug Administration

    Bayesian Design of Pediatric Clinical Trials with Prospective Incorporation of Data from Adult Trials Matthew Psioda, Department of Biostatistics,Department of Biostatistics

    Sequential basket trial design based on multi-source exchangeability with predictive probability monitoring Alexander Kaizer, Biostatistics And Informatics, University Of Colorado-Anschutz Medical Campus Emily Zabor, Cleveland Clinic Nan Chen, Gilead Sciences Brian Hobbs, University Of Texas-Austin

    IS 22 Big data analytics with applications to astronomy

    Giovanni Motta, Statistics,Texas A&M, Department of Statistics, Vinay KASHYAP, High-Energy Astrophysics Division,Center for Astrophysics — Harvard & Smithsonian, David Jones, Department Of Statistics, Texas A&M University

    Chair : Samiran Sinha, Texas A&M University

    Organizer : Samiran Sinha, Texas A&M University

    Venue : Room 3

    Adaptive Methods for Time-Modulated Variable Stars Giovanni Motta, Statistics,Texas A&M, Department of Statistics

    X-ray Astronomy in 4 Dimensions Vinay KASHYAP, High-Energy Astrophysics Division,Center for Astrophysics — Harvard & Smithsonian

    Improving Exoplanet Detection Power: Multivariate Gaussian Process Models for Stellar Activity David Jones, Department Of Statistics, Texas A&M University David C. Stenning, Simon Fraser University Eric B. Ford, Penn State University Robert L Wolpert, Duke University Thomas J Loredo, Cornell University

    IS 23 Biostatistics with Bayesian Additive Regression Trees

    Rupam Bhattacharyya, Biostatistics, University Of Michigan, Charles Spanbauer, Biostatistics, University Of Minnesota, Rodney Sparapani, Division Of Biostatistics, Medical College Of Wisconsin

    Chair : Purushottam Laud

    Organizer : Rodney Sparapani, Medical College Of Wisconsin

    Venue : Room 4

    TransPRECISE: Personalized Network Modeling of the Pan-cancer Patient and Cell Line Interactome Rupam Bhattacharyya, Biostatistics, University Of Michigan Min Jin Ha, The University Of Texas MD Anderson Cancer Center Qingzhi Liu, University Of Michigan Rehan Akbani, The University Of Texas MD Anderson Cancer Center Han Liang, The University Of Texas MD Anderson Cancer Center

    Random Effects with Bayesian Additive Regression Trees for Precision Medicine Charles Spanbauer, Biostatistics, University Of Minnesota Rodney Sparapani, Medical College Of Wisconsin

    Nonparametric Failure Time with BART and DPM LIO Rodney Sparapani, Division Of Biostatistics, Medical College Of Wisconsin Laud, Purushottam, Medical College Of Wisconsin Logan, Brent, Medical College Of Wisconsin Mcculloch, Robert, Arizona State University Pratola, Matt, Ohio State University

    IS 24 Advances in statistical methods for survival analysis

    Soyoung Kim, Division Of Biostatistics, Medical College Of Wisconsin, Lu Mao, Biostatistics and Medical Informatics, University of Wisconsin-Madison Noorie Hyun, Division of Biostatistics, Medical College of Wisconsin

    Chair : Sunyoung Shin, University of Texas at Dallas

    Organizer : Sunyoung Shin, University of Texas at Dallas

    Venue : Room 5

    Efficient competing risks regression models under the generalized case-cohort design Soyoung Kim, Division Of Biostatistics, Medical College Of Wisconsin Yayun Xu, Merck Pharmaceutical Company Mei-jie Zhang, Kwang Woo Ahn, Division Of Biostatistics, Medical College Of Wisconsin David Couper, Department Of Biostatistics, University Of North Carolina At Chapel Hill

    On recurrent-event win ratio Lu Mao, Biostatistics and Medical Informatics, University of Wisconsin-Madison KyungMann Kim, University of Wisconsin-Madison Yi Li, University of Wisconsin-Madison

    Survival Trees for Informative Interval-Censored Data Noorie Hyun, Division of Biostatistics, Medical College of Wisconsin Xiao Li, Medical College of Wisconsin

    IS 25 Advances in Graphical Modeling

    Veera Baladandayuthapani, Biostatistics, University Of Michigan, Jian Kang, University of Michigan, Lin Zhang, Division of Biostatistics, University of Minnesota

    Chair : Lin Zhang, University of Minnesota

    Organizer : Lin Zhang, University of Minnesota

    Venue : Room 6

    Bayesian Integrative Approaches to Enable Precision Medicine Veera Baladandayuthapani, Biostatistics, University Of Michigan Min Jin Ha, Abhisek Saha, Satwik Acharyya, Md Anderson, Nih, University Of Michigan

    Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process Jian Kang, University of Michigan Ben Wu, Renmin University Ying Guo, Emory University

    Bi-level graphical modeling of functional connectivity analysis of resting-state fMRI data Lin Zhang, Division of Biostatistics, University of Minnesota

Day 2 Agenda : ( US Central time )

  • 08:30 - 09:30

  • Plenary Session

    Plenary Lecture 2, Kannan Natarajan

    Chair : Amarjot KAUR, Merck Inc.

    Venue : Room A

    Drug Development in the 21st Century Need for Innovation in Statistical Thinking

  • 09:45 - 11:00

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 26 Drug Safety Analysis

    Barbara Hendrickson, Pharmacovigilance And Patient Safety, AbbVie, Kentaro Takeda, Data Science, Astellas Pharma Global Development, Inc, Erya Huang, Clinical Statistics,Bayer U.S. LLC

    Chair : Hrishikesh Kulkarni, Alexion Pharmaceuticals

    Organizer : Hrishikesh Kulkarni, Alexion Pharmaceuticals

    Venue : Room 1

    Aggregate Safety Analysis and Planning in Clinical Development Barbara Hendrickson, Pharmacovigilance And Patient Safety, AbbVie

    TITE-BOIN-ET: Time-to-event Bayesian optimal interval design to accelerate dosefinding based on both efficacy and toxicity outcomes Kentaro Takeda, Data Science, Astellas Pharma Global Development, Inc Satoshi Morita, Kyoto University Masataka Taguri, Yokohama City University

    The Full Picture: Making the Data Insight a Reality Erya Huang, Clinical Statistics,Bayer U.S. LLC

    IS 27 Innovative Methods in Clinical Trials

    Arkendu Chatterjee, Global Biometrics and Data Science, BMS, Associate Director, BMS, Erina Paul, Biostatistics and Research Decision Sciences,Merck & Co., Inc, Sudipta Bhattacharya, Sqs, Biostatistics, Takeda

    Chair : Rianka Bhattacharya, Abbvie Inc

    Organizer : Rianka Bhattacharya, Abbvie Inc

    Venue : Room 2

    REVIEW ON MODEL DIAGNOSTICS FOR INCOMPLETE DATA Arkendu Chatterjee, Global Biometrics and Data Science, BMS, Associate Director, BMS

    New Approaches for Testing Non-inferiority for Three-arm Trials with Poisson Distributed Outcome Erina Paul, Biostatistics and Research Decision Sciences,Merck & Co., Inc Samiran Ghosh Shrabanti Chowdhury Ram Tiwari

    Assessing contribution of treatment phases through tipping point analyses using rank preserving structural failure time models Sudipta Bhattacharya, Sqs, Biostatistics, Takeda Dr. Jyotirmoy Dey, Regeneron

    IS 28 Statistical inference for high dimensional data

    Mladen Kolar, The University of Chicago Booth School of Business,The University of Chicago Booth School of Business, Jingshu Wang, Statistics, University Of Chicago, Aki Ishii, Department Of Information Sciences, Tokyo University Of Science

    Chair : Ping-Shou Zhong, University of Illinois at Chicago

    Organizer : Ping-Shou Zhong, University of Illinois at Chicago

    Venue : Room 3

    Inference for Differential Networks in a High-dimensional Setting Mladen Kolar, The University of Chicago Booth School of Business,The University of Chicago Booth School of Business Byol Kim, Irina Gaynanova

    Causal inference in Mendelian Randomization with weak and heterogenous instruments Jingshu Wang, Statistics, University Of Chicago Qingyuan Zhao, University Of Cambridge Jack Bowden, The University Of Exeter Dylan Small, University Of Pennsylvania Nancy R. Zhang, University Of Pennsylvania

    High-dimensional quadratic classifiers under the strongly spiked eigenvalue model Aki Ishii, Department Of Information Sciences, Tokyo University Of Science Kazuyoshi Yata, Institute Of Mathematics, University Of Tsukuba Makoto Aoshima, Institute Of Mathematics, University Of Tsukuba

    IS 29 It’s all about Bayes

    Dipak Dey, Department of Statistics, University of Connecticut, Ananda Sen, Department of Biostatistics, University of Michigan

    Chair : Sanjib Basu, School of Public Health, University of Illinois Chicago

    Organizer : Ananda Sen, Department of Biostatistics, University of Michigan

    Venue : Room 4

    Bayesian Model Assessment and Selection Using Bregman Divergence Dipak Dey, Department of Statistics, University of Connecticut Gyuhyeong Goh, Kansas State University

    A Bayesian Joint Model for Clustered Agreement Data Ananda Sen, Department of Biostatistics, University of Michigan Wen Ye, University of Michigan Pin Li, Henry Ford Health System

    IS 30 Use of Histoical Control Data and Evidence Synthesis in Clinical Trials

    Dai Feng, GMA Statistics, DSS, AbbVie, Antara Majumdar, Statistical Innovations Group, Medidata Acorn AI, Pourab Roy, Office of Biostatistics,FDA

    Chair : Pabak Mukhopadhyay, Daiichi-Sankyo Inc

    Organizer : Pabak Mukhopadhyay, Daiichi-Sankyo Inc

    Venue : Room 5

    Considerations in using External Control from Real-world Data to Support FDA Approvals Dai Feng, GMA Statistics, DSS, AbbVie Meijing Wu, AbbVie Hongwei Wang, AbbVie Yixin Fang, AbbVie Weili He, AbbVie

    Building an external control arm for development of a new molecular entity Antara Majumdar, Statistical Innovations Group, Medidata Acorn AI Ruthie Davi, Medidata Acorn AI

    Use of External Controls in Oncology Trials Pourab Roy, Office of Biostatistics, FDA

    IS 31 Advances in Network Data Analysis.

    Soumendu Sundar Mukherjee, Interdisciplinary Statistical Research Unit (ISRU),indian Statistical Institute, Kolkata, Purnamrita Sarkar, Department of Statistics and Data Sciences, Asst. Prof, Arash Amini, Statistics, UCLA

    Chair : Debashis Mondal, Oregon State University

    Organizer : Shirshendu Chatterjee, City University Of New York

    Venue : Room 6

    Optimal offline changepoint estimation in network sequences Soumendu Sundar Mukherjee, Interdisciplinary Statistical Research Unit (ISRU),indian Statistical Institute, Kolkata Sharmodeep Bhattacharyya, Oregon State University Shirshendu Chatterjee, City University Of New York Trisha Dawn, Indian Statistical Institute, Kolkata Tamojit Sadhukhan, Indian Statistical Institute, Kolkata

    Trading off Accuracy for Speedup: Multiplier Bootstraps for Subgraph Counts Purnamrita Sarkar, Department of Statistics and Data Sciences, Asst. Prof Qiaohui Lin, Student, UT Austin Robert Lunde, Postdoctoral Scholar, UT Austin

    Adjusted chi-square test for degree-corrected block models Arash Amini, Statistics, UCLA Linfan Zhang, UCLA

    Student Paper Competition 1 Theory and Methodology

    Chair : Bodhisattva SEN, Department of Statistics, Columbia Universit

    Venue : Room 7

    Wilson loop expectations for finite gauge groups Sky Cao, Stanford Statistics,Stanfod University

    A Bayesian framework for sparse estimation in high-dimensional mixed frequency Vector Autoregressive models Nilanjana Chakraborty, Statistics, University Of Florida Kshitij Khare, Department Of Statistics, University Of Florida George Michailidis, Department Of Statistics And The Informatics Institute, University Of Florida

    Motif Estimation via Subgraph Sampling Sayan Das, Department Of Mathematics, Columbia University Bhaswar B. Bhattacharya, University Of Pennsylvania Sumit Mukherjee, Columbia University

    Confident predictions even when distributions shift Suyash Gupta, Statistics,Ph.D. student, Statistics, Stanford University Maxime Cauchois, Ph.D. student, Statistics, Stanford University Alnur Ali, Post doctoral candidate, Electrical Engineering, Stanford University John Duchi, Assistant Professor, Statistics and Electrical Engineering, Stanford University

    PROFIT: Projection-based Test in Longitudinal Functional Dat Koner Salil, North Carolina State University So Young PARK Ana-Maria STAICU

  • 11:15 - 12:30

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 32 Some Bayesian Perspectives in Pharmaceutical Statistical Methods

    Ling Wang, Worldwide Research, Development and Medical, Pfizer, Margaret Gamalo, GBDM-Inflammation and Immunology, Pfizer, Neal Thomas, Pfizer, Groton CT USA, Pfizer

    Chair : Arnab Maity, Pfizer

    Organizer : Arnab Maity, Pfizer

    Venue : Room 1

    Practical considerations of using historical data in clinical trials: when, what and how much do we borrow? Ling Wang, Worldwide Research, Development and Medical, Pfizer

    Statistical Construct of Extrapolation: Composite Likelihood and Bayesian Approaches Margaret Gamalo, GBDM-Inflammation and Immunology, Pfizer

    Bayesian Emax dose response modeling Neal Thomas, Pfizer, Groton CT USA, Pfizer

    IS 33 Design and analysis in early-stage clinical trials

    Ying Yuan, Biostatistics,University of Texas MD Anderson Cancer Center, Tian Tian, Biostatistics, BeiGene, Min Yang, Department of Mathematics, Statistics, and Computer Science,University of Illinois at Chicago

    Chair : Min Yang, Department of Mathematics, Statistics, and Computer Science, of Illinois at Chicago

    Organizer : Min Yang, Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago

    Venue : Room 2

    BOIN12: Bayesian Optimal Interval Phase I/II Trial Design for Utility-Based Dose Finding in Immunotherapy and Targeted Therapies Ying Yuan, Biostatistics,University of Texas MD Anderson Cancer Center Ruitao Lin, University of Texas MD Anderson Cancer Center Yanhong Zhou, University of Texas MD Anderson Cancer Center Fangrong Yan, China Pharmaceutical University Daniel Li, Bristol-Myers Squibb

    Optimal Design Theory in Early-Phase Dose-Finding Problems with Late-onset Toxicity Tian Tian, Biostatistics, BeiGene Min Yang, University of Illinois at Chicago

    Proof of concept and dose estimation with binary responses Min Yang, Department of Mathematics, Statistics, and Computer Science,University of Illinois at Chicago

    IS 34 Advanced Statistical Methods for High-Dimensional Data

    Ansu Chatterjee, School Of Statistics, University Of Minnesota, Anirban Mondal, Department Of Mathematics, Applied Mathematics, And Statistics, Case Western Reserve University, Abhijit Mandal, Department of Mathematical Sciences,Assistant Professor, University of Texas at El Paso

    Chair : Abhijit Mandal, Department of Mathematical Sciences,Assistant Professor, University of Texas at El Paso

    Organizer : Anirban Mondal, Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University

    Venue : Room 3

    On High Dimensional, Robust, Unsupervised Record Linkage Ansu Chatterjee, School Of Statistics, University Of Minnesota

    Computer model emulation for high dimensional functional output from satellite remote sensing Anirban Mondal, Department Of Mathematics, Applied Mathematics, And Statistics, Case Western Reserve University Pulong Ma, Samsi, Duke University Jonathan Hobbs, Jet Propulsion Laboratory Emily Kang, University Of Cincinnati Konomi, Bledar, University Of Cincinnati

    Robust Variable Selection Criteria for the Penalized Regression Abhijit Mandal, Department of Mathematical Sciences,Assistant Professor, University of Texas at El Paso Samiran Ghosh, Associate Professor, Wayne State University

    IS 35 Bayesian Modeling and Computation

    Yajuan Si, Survey Research Center,University of Michigan, Vivekananda Roy, Department of Statistics, Iowa State University, Joyee Ghosh, Statistics and Actuarial Science, The University of Iowa

    Chair :

    Organizer : Joyee Ghosh, University of Iowa

    Venue : Room 4

    Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records Yajuan Si, Survey Research Center, University of Michigan Mari Palta, University of Wisconsin-Madison Maureen Smith, University of Wisconsin-Madison

    MCMC algorithms for Bayesian generalized linear mixed models Vivekananda Roy, Department of Statistics, Iowa State University

    Bayesian Modeling of North Atlantic Tropical Cyclone Activity Joyee Ghosh, Statistics and Actuarial Science, The University of Iowa Xun Li, The University of Iowa Gabriele Villarini, The University Of Iowa

    IS 36 Recent Developments in Network Data Inference

    Yuguo Chen, Department of Statistics, University of Illinois at Urbana-Champaign, Subhadeep Paul, Department of Statistics, The Ohio State University, Srijan Sengupta, Statistics,North Carolina State University

    Chair : Srijan Sengupta, North Carolina State University

    Organizer : Srijan Sengupta, North Carolina State University

    Venue : Room 5

    Mixed membership stochastic blockmodels for heterogeneous networks Yuguo Chen, Department of Statistics, University of Illinois at Urbana-Champaign

    Modeling continuous-time networks of relational events Subhadeep Paul, Department of Statistics, The Ohio State University Kevin Xu, University of Toledo Makan Arastuie, University of Toledo

    A nonparametric test of co-spectrality in network Srijan Sengupta, Statistics,North Carolina State University Souvik Seal, Colorado School Of Public Health Abhirup Datta, Johns Hopkins University

    IS 37 Recent Advances in Statistical Genetics

    Shili Lin, Statistics, Ohio State University, Asuman Turkmen, Department Of Statistics, Ohio State University, Saonli Basu, Biostatistics, University Of Minnesota

    Chair : Swati Biswas, University of Texas at Dallas

    Organizer : Swati Biswas, University of Texas at Dallas

    Venue : Room 6

    SBL: Bayesian Lasso for detecting haplotypes associated with survival traits Shili Lin, Statistics, Ohio State University

    Correcting population stratification in association studies of rare genetic variants using generalized PCA Asuman Turkmen, Department Of Statistics, Ohio State University Nedret Billor, Auburn University Yuan Yuan, Auburn University

    Efficient SNP-based Heritability Estimation using Gaussian Predictive Process in Large-scale Cohort Studies Saonli Basu, Biostatistics, University Of Minnesota Souvik Seal, Colorado School Of Public Health Abhirup Datta, Johns Hopkins University

  • 12:30 - 13:15

  • Break

  • 13:15 - 14:30

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 38 Precision Medicine

    Jae Lee, Biomarker Group, Global Biometric and Data Sciences, Bristol Myers Squibb, Maha Karnoub, Translational Medicine Biostatistics, Xin Zhao, Oncolgoy Statistics, Janssen Pharceuticals

    Chair : Rong Liu, BMS

    Organizer : Rong Liu, BMS

    Venue : Room 1

    Comparative Biomarker Modeling for Optimal Patient Selection in Immuno-oncology Jae Lee, Biomarker Group, Global Biometric and Data Sciences,Bristol Myers Squibb

    Innovative Statistical Thinking in Support of Translational Science and Companion Diagnostic Development Maha Karnoub, Daiichi Sankyo - Translational Medicine Biostatistics

    Adaptation Development Strategy for Oncology Biomarker-Driven Registration Trial Xin Zhao, Oncolgoy Statistics, Janssen Pharceuticals Sudhakar Rao, Janssen Pharceuticals

    IS 39 Machine Learning Methods for High-dimensional and Functional Data

    Xiaoli Kong, Department of Mathematics and Statistics,Loyola University Chicago, Gregory Matthews, Mathematics And Statistics, Loyola University Chicago, Swarnali Banerjee, Department Of Mathematics And Statistics, Loyola University Chicago

    Chair : Swarnali Banerjee, Department Of Mathematics And Statistics, Loyola University Chicago

    Organizer : Swarnali Banerjee, Department Of Mathematics And Statistics, Loyola University Chicago

    Venue : Room 2

    High-dimensional rank-based inference for testing relative effects Xiaoli Kong, Department of Mathematics and Statistics,Loyola University Chicago Solomon Harrar, University of Kentucky

    Completion and Classification of Partially Observed Curves with Application to Classification of Bovid Teeth Gregory Matthews, Mathematics And Statistics, Loyola University Chicago Ofer Harel, Karthik Bharath Sebastian Kurtek, Juliet Brophy

    Minimum Cost-Compression Risk in Principal Component Analysis Swarnali Banerjee, Department Of Mathematics And Statistics, Loyola University Chicago Bhargab Chattopadhyay, Indian Institute Of Management Visakhapatnam

    IS 40 Statistical and Computational Advances for Large Scale Data with High Dimensions

    Yun Yang, Statistics, University of Illinois Urbana-Champaign, Alexander Giessing, Department Of Operations Research And Financial Engineering, Princeton University, Naveen Naidu Narisetty, Statistics,University of Illinois at Urbana-Champaign

    Chair : Yuan Zhang, Statistics, The Ohio State University

    Organizer : Naveen Naidu Narisetty, University of Illinois Urbana-Champaign

    Venue : Room 3

    Fast and accurate computation of large-scale kernel ridge regression Yun Yang, Statistics, University of Illinois Urbana-Champaign

    Bootstrapping Lp-Statistics in High Dimensions Alexander Giessing, Department Of Operations Research And Financial Engineering, Princeton University Jianqing Fan, Princeton University

    Bayesian Multiple Quantile Regression Using a Score Likelihood Naveen Naidu Narisetty, Statistics, University of Illinois at Urbana-Champaign Teng Wu, University of Illinois at Urbana-Champaign

    IS 41 Advances in Bayesian semiparametric and linear mixed models

    Subhabrata Majumdar, Data Science And Ai Research, University Of Minnesota,Abhra Sarkar, Statistics And Data Sciences, The University Of Texas At Austin, Choudur Lakshminarayan, Teradata Labs

    Chair : Anirban Mondal, Case Western Reserve University

    Organizer : Anirban Mondal, Case Western Reserve University

    Venue : Room 4

    Simultaneous Selection of Multiple Important Single Nucleotide Polymorphisms in Familial Genome Wide Association Studies Data Subhabrata Majumdar, Data Science And Ai Research, University Of Minnesota Saonli Basu, University Of Minnesota Matt Mcgue, University Of Minnesota Snigdhansu Chatterjee, University Of Minnesota

    Bayesian Semiparametric Longitudinal Functional Mixed Models with Locally Informative Predictors Abhra Sarkar, Statistics And Data Sciences, The University Of Texas At Austin Giorgio Paulon, The University Of Texas At Austin Peter Mueller, The University Of Texas At Austin

    Modeling Heterogeneity in Consumer Preferences using Bayesian Methods Choudur Lakshminarayan, Teradata Labs

    IS 42 Variable selection and its application in biomedical sciences

    Suprateek Kundu, Biostatistics, Emory University, Sounak Chakraborty, Statistics, University Of Missouri-columbia, Tanujit Dey, Center For Surgery And Public Health, BWH, Harvard Medical School

    Chair : Emily Zabor, Department of Quantitative Health Sciences, Cleveland Clinic

    Organizer : Tanujit Dey, Brigham and Women’s Hospital, Harvard Medical School

    Venue : Room 5

    Semi-parametric Bayes Regression and Variable Selection Using Network Valued Covariates. Suprateek Kundu, Biostatistics, Emory University Xin Ma, Emory University Jennifer Stevens, Emory University

    Scalable Bayesian Variable Selection And Grouping For Binary And Multiclass Outcome Data Sounak Chakraborty, Statistics, University Of Missouri-columbia

    EM based approach for analysis of multi-platform genomics data Tanujit Dey, Center For Surgery And Public Health, BWH, Harvard Medical School Sounak Chakraborty, Department Of Statistics, University Of Missouri Hao Xue, Department Of Biostatistics, Harvard School Of Public Health

    Student Paper Competition 2 Applications

    Chair : Sujata Patil, Cleveland Clinic

    Venue : Room 6

    Adaptive and powerful microbiome multivariate association analysis via feature selection Kalins Banerjee, Department of Public Health Sciences,Pennsylvania State University Jun Chen, Division of Biomedical Statistics and Informatics, Mayo Clinic Xiang Zhan, Department of Public Health Sciences, Pennsylvania State University

    Scalable Bayesian Variable Selection And Grouping For Binary And Multiclass Outcome Data Neel M. Desai, Rice University Veera Baladandayuthpani Jeffrey Morris

    mbImpute: an accurate and robust imputation method for microbiome data Ruochen Jiang , Statistics,University of California, Los Angeles Vivian Wei Li, Rutgers School of Public Health Jessica Jingyi Li, University of California, Los Angeles

    An empirical Bayes approach to estimating dynamic models of co-regulated gene expression Sara Venkatraman, Department of Statistics and Data Science,Cornell University, Department of Statistics and Data Science Sumanta Basu, Cornell University, Department of Statistics and Data Science Myung Hee Lee, Weill Cornell Medical College, Department of Medicine Martin T. Wells, Cornell University, Department of Statistics and Data Science

    Joint Latent Space Model for Social Networks with High-dimensional Multivariate Attributes Selena Wang, Ohio State University Subhadeep Paul, Ohio State University Paul De Boeck, Ohio State University

  • 14:45 - 16:00

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 43 Advances in Multiplicity Control Methods in Health care

    Wenge Guo, Mathematical Sciences, New Jersey Institute of Technology, Ajit Tamhane Northwestern University

    Chair : Satya Ravi Siddani, Abbvie Inc.

    Organizer : Satrajit Roy Choudhury, Pfizer Inc

    Venue : Room 1

    A Modified Graphical Approach with Generalized Sequentially Rejective Principle to Control Familywise Error Rate Wenge Guo, Mathematical Sciences, New Jersey Institute of Technology Li Yu, Merck & Co

    Group Sequential Holm and Hochberg Procedures Ajit Tamhane, Northwestern University Jiangtao Gou, Villanova University Dong Xi, Novartis Pharmaceuticals

    Discussant: Pabak MUKHOPADHYAY

    IS 44 Further exploration of the MaxCombo Test in Immuno-Oncology (IO) trials: A followup on the original proposal from the Non-Proportional Hazards (NPH) working group

    Keaven Anderson, Methodology Research, Merck & Co., Inc., Sujit Ghosh, Department of Statistics, North Carolina State University, Pralay Mukhopadhyay, Department Of Biometrics, Otsuka America Pharmaceuticals Inc.

    Chair : Pralay Mukhopadhyay, Department Of Biometrics, Otsuka America Pharmaceuticals Inc

    Organizer : Pralay Mukhopadhyay, Department Of Biometrics, Otsuka America Pharmaceuticals Inc

    Venue : Room 2

    Do MaxCombo and Weighted Logrank Tests Control Type I Error? Keaven Anderson, Methodology Research, Merck & Co., Inc. Pralay Mukhopadhyay, Department Of Biometrics, Otsuka America Pharmaceuticals Inc. Satrajit Roychoudhury, Pfizer Inc.

    Possible Hazards of Proportional Hazards Models Sujit Ghosh, Department of Statistics, North Carolina State University Alvin Sheng, North Carolina State University

    Evaluation of Logrank and MaxCombo test in Immuno-Oncology Trials A Retrospective Analysis in Patients Treated with Anti-PD1/PD-L1 Agents across Solid Tumors Pralay Mukhopadhyay, Department Of Biometrics, Otsuka America Pharmaceuticals Inc. Jiabu Ye, AstraZeneca

    IS 45 Small Area Estimation: Dedicated to the memory of Professor Hukum Chandra (1972 - 2021)

    Dongchu Sun, Statistics, University Of Nebraska-Lincoln, Ranadeep Daw, Department of Statistics, University of Missouri, Datta Gauri, Department Of Statistics, University Of Georgia/US Census Bureau

    Chair : Sanjay Chaudhuri, National University of Singapore

    Organizer : Gauri Sankar Datta, Department of Statistics, University of Georgia/US Census Bureau

    Venue : Room 3

    Bayesian Analysis of the Covariance Matrix of a Large Dimensional Multivariate Normal Distribution with Shrinkage Inverse Wishart Priors School of Business Dongchu Sun, Statistics, University Of Nebraska-Lincoln James O. Berger, Duke University Chengyuan Song, East China Normal University

    An Accurate Coreset Methodology for Efficient Reduction of Spatial Data Ranadeep Daw, Department of Statistics, University of Missouri Christopher K Wikle, University of Missouri

    Pseudo-Bayes Small Area Estimation via Compromise Regression Weights Datta Gauri, Department Of Statistics, University Of Georgia/US Census Bureau Lee Juhyung, University Of Georgia Li Jiacheng, University Of Georgia

    IS 46 Innovative Bayesian Approach to advance Drug development

    Ruitao Lin, The University of Texas MD Anderson Cancer Center, Hongtao Zhang, Global Biometrics And Data Sciences, Bristol Myers Squibb, Heng Zhou, Biostatistics and Research Decision Sciences, Merck & Co., Inc

    Chair : Alex Liu, Bayer

    Organizer : Rong Liu, BMS

    Venue : Room 4

    BOIN12: Bayesian Optimal Interval Phase I/II Trial Design for Utility-Based Dose Finding in Immunotherapy and Targeted Therapies Ruitao Lin, The University of Texas MD Anderson Cancer Center

    On the Implementation of Robust Meta-Analytical-Predictive Prior Hongtao Zhang, Global Biometrics And Data Sciences, Bristol Myers Squibb Alan Y Chiang, Bristol Myers Squibb Mike Branson, UCB Pharma

    A framework of Bayesian optimal phase II (BOP2) clinical trial design Heng Zhou, Biostatistics and Research Decision Sciences, Merck & Co., Inc Ying Yuan, MD Anderson Cancer Center Linda Sun, Merck & Co., Inc Cong Chen, Merck & Co., Inc

    IS 47 Recent advances in Trend Filtering and related methods.

    Teng Zhang, University of Central Florida, James Sharpnack, Statistics Department, UC Davis, Oscar Hernan Madrid Padilla, Statistics, University Of California, Los Angeles, Veeranjaneyulu Sadhanala, Booth School Of Business, University Of Chicago

    Chair : Sabyasachi Chatterjee, University Of Illinois At Urbana- Champaign

    Organizer : Sabyasachi Chatterjee, University Of Illinois At Urbana- Champaign

    Venue : Room 5

    Element-wise estimation error of a total variation regularized estimator for change point detection Teng Zhang, University of Central Florida

    Public health data and trend filtering James Sharpnack, Statistics Department, UC Davis

    Quantile trend filtering Oscar Hernan Madrid Padilla, Statistics, University Of California, Los Angeles

    Trend filtering with sub-exponential noise and for exponential families Veeranjaneyulu Sadhanala, Booth School Of Business, University Of Chicago Robert Bassett, Naval Post Graudate School James Sharpnack, University Of California, Davis Dan Mcdonald, University Of British Columbia, Vancouver

    IS 48 Multivariate Modeling for Improved Detection of Genetic Variants

    Lin Chen, Department of Public Health Sciences, University of Chicago, Swati Biswas, Mathematical Sciences, University of Texas at Dallas, Scholtens Denise, Department of Preventive Medicine - Biostatistics,Department of Preventive Medicine - Biostatistics

    Chair : Saonli Basu, University of Minnesota

    Organizer : Saonli Basu, University of Minnesota

    Venue : Room 6

    Integrating GWAS and multi-omics QTL summary statistics to elucidate disease genetic mechanisms via a hierarchical low-rank model Lin Chen, Department of Public Health Sciences, University of Chicago Yihao Lu, University of Chicago Jin Liu, University of Chicago

    Detecting rare haplotype association with two correlated phenotypes of binary and continuous types Swati Biswas, Mathematical Sciences, University of Texas at Dallas Xiaochen Yuan, University of Texas at Dallas

    Bayesian network models for integrating genetics and metabolomics data Scholtens Denise, Department of Preventive Medicine - Biostatistics,Department of Preventive Medicine - Biostatistics

  • 16:15 - 17:30

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 49 Multiple Statistical Approaches to Address Missing Data in Drug Development Trials

    Vivek Pradhan, Statistics, ECD I&I, Pfizer Inc, Steven Sun, Statistical Decision Science, Janssen R&D, Madan Gopal Kundu, Daiichi Sankyo Inc

    Chair : Arnab Maity, Pfizer

    Organizer : Arnab Maity, Pfizer

    Venue : Room 1

    Fitting Proportional Odds Model with Missing Responses When the Missing Data Are Nonignorable Vivek Pradhan, Statistics, ECD I&I, Pfizer Inc

    Missing data: sensitivity analysis or supplementary analysis? Steven Sun, Statistical Decision Science, Janssen R&D

    Composite responder rate estimation under non-ignorable missingness Madan Gopal Kundu, Daiichi Sankyo Inc

    IS 50 Supersaturated and Sequential Designs

    Dibyen Majumdar, Math., Stat. and Comp., Sci, UIC, University of Illinois at Chicago, John Stufken, Informatics and Analytics, University of North Carolina at Greensboro, Mingyu (Max) Joo, Marketing, UC Riverside

    Chair : Gauri Datta, Department of Statistics,University of Georgia/US Census Bureau

    Organizer : Abhyuday Mandal, University of Georgia

    Venue : Room 2

    Group Orthogonal Supersaturated Designs Dibyen Majumdar, Math., Stat. and Comp., Sci, UIC, University of Illinois at Chicago

    Musings about supersaturated designs John Stufken, Informatics and Analytics, University of North Carolina at Greensboro Rakhi Singh, University of North Carolina at Greensboro

    Optimal Product Design by Sequential Experiments in High Dimensions Mingyu (Max) Joo, Marketing, UC Riverside Thompson Michael Allenby Greg M, Ohio State University

    IS 51 Methods for High Dimensional Data

    Sanvesh Srivastava, The University Of Iowa, Department Of Statistics And Actuarial Science, Marco Ferreira, Department Of Statistics, Virginia Tech, Mahlet Tadesse, Department of Mathematics and Statistics,Georgetown University

    Chair : Joyee Ghosh, University of Iowa

    Organizer : Joyee Ghosh, University of Iowa

    Venue : Room 3

    Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior Sanvesh Srivastava, The University Of Iowa, Department Of Statistics And Actuarial Science Rajarshi Guhaniyogi, Uc Santa Cruz Cheng Li, National University Of Singapore Terrance Savitsky, Bureau Of Labor Statistics

    Novel dynamic multiscale spatiotemporal models for multivariate Gaussian data with applications to stratospheric temperatures Marco Ferreira, Department Of Statistics, Virginia Tech Mohamed Elkhouly, Department Of Statistics, University Of Wisconsin - Madison

    Variable selection in mixture of regression models: Uncovering cluster structure and relevant features Mahlet Tadesse, Department of Mathematics and Statistics,Georgetown University

    IS 52 Bayesian Methods and Applications for Complex Data

    Dingzhou (Dean) Li, Drug Safety Statistics, Pfizer, Dongyan Yan, Discovery & Development Statistics, Eli Lilly and Company, Nairita Ghosal, Merck & Co

    Chair : Nairita Ghosal, Merck & Co.

    Organizer : Nairita Ghosal, Merck & Co.

    Venue : Room 4

    Nonparametric Bayesian Analysis of Genotoxicity Screening Assays Dingzhou (Dean) Li, Drug Safety Statistics, Pfizer

    Semiparametric Bayesian Markov Analysis of Personalized Benefit-Risk Assessment Dongyan Yan, Discovery & Development Statistics,Eli Lilly and Company Subharup Guha, Department of Biostatistics, University of Florida Chul Ahn, Division of Biostatistics, Center for Devices and Radiological Health, Office Surveillance and Biometrics, U.S. Food and Drug Administration Ram Tiwari, Statistical Methodology at Bristol Myers Squibb

    Clustered-Temporal Bayesian Model for Brain connectivity in Neuroimaging data Nairita Ghosal, Merck & Co Sanjib Basu, University of Illinois at Chicago

    IS 53 Statistical Methods for Contemporary Applications

    Trambak Banerjee, Analytics, Information And Operations Management, University Of Kansas, Wreetabrata Kar, Purdue University, Purdue University-Main Campus (West Lafayette, IN), Dave Zhao, Statistics, University of Illinois at Urbana-Champaign

    Chair : Trambak Banerjee, Analytics, Information and Operations Management, University of Kansas

    Organizer : Gourab Mukherjee, Department of Data Sciences & Operations, University of Southern California

    Venue : Room 5

    A nearest-neighbor based nonparametric test for viral remodeling in heterogeneous single-cell proteomic data Trambak Banerjee, Analytics, Information And Operations Management, University Of Kansas Bhaswar Bhattacharya, University Of Pennsylvania Gourab Mukherjee, University Of Southern California

    Applying Double Machine Learning to Targeted Email Promotions: A Journey Down the Conversion Funnel Wreetabrata Kar, Purdue University, Purdue University-Main Campus (West Lafayette, IN)

    A regression modeling approach to simultaneous estimation Dave Zhao, Statistics, University of Illinois at Urbana-Champaign

    IS 54 Topics in Network Inference

    David Choi, Heinz College, Carnegie Mellon University, Daniel Sussman, Mathematics and Statistics, Boston University, Tianxi Li, Department of Statistics, University of Virginia

    Chair : Debashis Mondal, Oregon State University

    Organizer : Sharmodeep Bhattacharyya, Oregon State University

    Venue : Room 6

    Randomization-only Inference in Experiments with Interference David Choi, Heinz College, Carnegie Mellon University

    Bias-Variance Tradeoffs in Joint Spectral Embeddings Daniel Sussman, Mathematics and Statistics, Boston University Benjamin Draves, Boston University

    Linear regression and its inference on noisy network-linked data Tianxi Li, Department of Statistics, University of Virginia Can M. Le, UC Davis

Day 3 Agenda : ( US Central time )

  • 08:30 - 09:30

  • Plenary Session

    Plenary Lecture 3, Xihong Lin, Harvard University

    Chair : Susmita Datta, University of Florida

    Venue : Room A

    Scalable Integrative Analysis of Large Genome and Phenome Data Xihong Lin, Departments of Biostatistics and Department of Statistics, Harvard University and Broad Institute

  • 09:45 - 11:15

  • Special Invited Sessions

    Special Invited Lecture 3, Roshan Joseph and Bani Kumar Mallick

    Roshan Joseph, School Of Industrial And Systems Engineering, Georgia Institute Of Technology, Bani Mallick, Statistics,Texas A&M

    Chair : Sujit Ghosh, Department of Statistics, North Carolina State University

    Venue : Room B

    Data Splitting Roshan Joseph, School Of Industrial And Systems Engineering, Georgia Institute Of Technology Akhil Vakayil, Georgia Institute Of Technology

    Bayesian local models using partitions Bani Mallick, Statistics,Texas A&M

    Special Invited Lecture 4, Frank Bretz and Aloka Chakravarty

    Frank Bretz, Statistical Methodology, Novartis Pharma Ag, Aloka Chakravarty, Immediate Office Of The Commissioner, FDA, US Food And Drug Administration

    Chair : Shanti Sethuraman, Eli Lilly and Company

    Venue : Room C

    Equivalence of regression curves Frank Bretz, Statistical Methodology, Novartis Pharma Ag Kathirn Moellenhoff, Eindhoven University Of Technology Holger Dette, University Of Bochum

    Generating Actionable Insights from Real World Data during COVID-19 Pandemic Aloka Chakravarty, Immediate Office Of The Commissioner, FDA, US Food And Drug Administration

  • 11:30 - 12:45

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 55 Biomarker Characterization and Development for Patient Enrichment in Oncology Clinical Trial

    Jiabu Ye, Oncology Biometrics AstraZeneca, Richard Chappell, U Wisconsin Dept. Of Biostatistics And Medical Informatics, University Of Wisconsin, Feng Liu, Oncology Biometrics,AstraZeneca

    Chair : Pralay Mukhopadhyay, Department of Biometrics, Otsuka America Pharmaceuticals Inc.

    Organizer : Feng Liu, Oncology Biometrics, AstraZeneca

    Venue : Room 1

    Statistical Considerations in Biomarker Cutoff Determination, Development and Validation in Immuno-Oncology Studies Jiabu Ye, Oncology Biometrics AstraZeneca Feng Liu, Oncology Biometrics AstraZeneca

    Blocked adaptive randomization: how to do RAR if you really must. Richard Chappell, U Wisconsin Dept. Of Biostatistics And Medical Informatics, University Of Wisconsin Thevaasinen Chandereng, Columbia University

    Design and Challenges in Platform Design in the Immuno-Oncology Drug Development with application in NSCLC Feng Liu, Oncology Biometrics,AstraZeneca

    IS 56 Radomization and More

    David Puelz, Booth School of Business, University of Chicago, Jeevan Jankar, Department of Statistics, University of Georgia, Athens, Xinran Li, Department of Statistics, University of Illinois at Urbana-Champaign

    Chair : Jie Yang, Department of Mathematics, Statistics, and Computer Science,University of Illinois at Chicago

    Organizer : Abhyuday Mandal, University of Georgia

    Venue : Room 2

    Randomization tests of causal effects under general interference David Puelz, Booth School of Business,University of Chicago

    Optimal Crossover Designs for Generalized Linear Models Jeevan Jankar, Department of Statistics, University of Georgia, Athens Abhyuday Mandal, University of Georgia, Athens Jie Yang, University of Illinois, Chicago

    Rerandomization and Regression Adjustment Xinran Li, Department of Statistics, University of Illinois at Urbana-Champaign Peng Ding, University of California, Berkeley

    IS 57 Subsampling Methods in the Era of Big Data

    Simon Mak, Statistical Science,Duke University, HaiYing Wang, Statistics, University of Connecticut, Lin Wang, Department of Statistics, George Washington University

    Chair : John Stufken, Informatics and Analytics,University of North Carolina at Greensboro

    Organizer : Sujit Ghosh, Department of Statistics, North Carolina State University

    Venue : Room 3

    Supervised compression of data Simon Mak, Statistical Science,Duke University V. Roshan Joseph, Georgia Institute of Technology

    Sampling for Massive Data with Rare Events HaiYing Wang, Statistics, University of Connecticut

    Generalized orthogonal subsampling for predictive stability Lin Wang, Department of Statistics,George Washington University Yi Zhang, George Washington University

    IS 58 Contemporary Bayesian Modeling with Applications

    Peter Mueller, Statistics & Data SC, UT Austin, Purushottam Laud, Medical College Of Wisconsin, Siva Sivaganesan, Division Of Statistics And Data Science, Department Of Mathemtical Sciences, University Of Cincinnati

    Chair : Aritra Halder

    Organizer : Dipak Dey, Deapartment of Statistics,University of Connecticut

    Venue : Room 4

    Dependent Mixtures: Modeling Cell Lineage Peter Mueller, Statistics & Data SC, UT Austin Carlos Pagani Zanini, UFRJ Giorgio Paulon, UT Austin

    Some recent models using binary tree ensembles for various outcome types Purushottam Laud, Medical College Of Wisconsin Robert Mcculloch, Arizona State University Rodney Sparapani, Medical College Of Wisconsin Brent Logan, Medical College Of Wisconsin

    An Objective Bayesian Multiple Testing of Binomial Proportions Siva Sivaganesan, Division Of Statistics And Data Science, Department Of Mathemtical Sciences, University Of Cincinnati Emrah Gecili, Cincinnati Children’s Hospital Nilupika Herath, University Of Cincinnati

    IS 59 Advances in Random Forests and Decision Tree Ensembles

    Lucas Mentch, Department of Statistics, University of Pittsburgh, Giles Hooker, Statistics and Data Science, Cornel University, Jason Klusowski, Operations Research And Financial Engineering, Princeton University

    Chair : Sumanta Basu, Cornell University

    Organizer : Sumanta Basu, Cornell University

    Venue : Room 5

    Random Forests: Why They Work and Why That’s a Problem Lucas Mentch, Department of Statistics, University of Pittsburgh Siyu Zhou, University of Pittsburgh

    Improved uncertainty quantification for random forests and other ensembles Giles Hooker, Statistics and Data Science, Cornel University Zhengze Zhou, Cornell University Indrayudh Ghosal, Cornell University

    Nonparametric Variable Screening with Decision Stumps Jason Klusowski, Operations Research And Financial Engineering, Princeton University Peter M. Tian, Princeton University

    IS 60 Advances in Analysis of Intensive Longitudinal Data

    Whitney Welch, Department Of Preventive Medicine, Northwestern University Feinberg School Of Medicine, Qianheng Ma, Department of Public Health Sciences, University of Chicago, John Cursio, Public Health Sciences, University of Chicago

    Chair : Donald Hedeker, University of Chicago

    Organizer : Donald Hedeker, University of Chicago

    Venue : Room 6

    Mixed-effects location scale modeling for the analysis of accelerometry data Whitney Welch, Department Of Preventive Medicine, Northwestern University Feinberg School Of Medicine Donald Hedeker, University Of Chicago Bonnie Spring, Northwestern University Feinberg School Of Medicine Juned Siddique, Northwestern University Feinberg School Of Medicine

    A Negative Binomial Mixed Effects Location-Scale Model for Physical Activity Data Provided by Wearable Devices Qianheng Ma, Department of Public Health Sciences, University of Chicago Genevieve F. Dunton, University of Southern California Donald Hedeker, University of Chicago

    Latent Trait Shared Parameter Mixed Models for Missing Ordinal Ecological Momentary Assessment Data John Cursio, Public Health Sciences, University of Chicago

  • 13:00 - 14:15

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 61 Novel Methods for Oncology Drug Development

    Cynthia Basu, Early Clinical Development, Pfizer Inc., Arunava Chakravartty, Biostatistics/novartis, Novartis, Larry Leon, Biostatistics, Bristol-Myers Squibb

    Chair : Arnab Maity, Pfizer

    Organizer : Arnab Maity, Pfizer

    Venue : Room 1

    Bayesian Approach for Single-Arm Trials Incorporating Historical Information Cynthia Basu, Early Clinical Development, Pfizer Inc. Arnab K. Maity, Pfizer Inc Lada A. Markovtsova, Pfizer Inc. Satrajit Roychoudhury, Pfizer Inc.

    Model based methods to assess the impact of missing data on Oncology endpoints Arunava Chakravartty, Biostatistics/novartis, Novartis Craig Wang, Novartis

    On weighted log-rank combination tests and companion Cox model estimators Larry Leon, Biostatistics, Bristol-Myers Squibb Ray Lin, Genentech Keaven Anderson, Merck

    IS 62 Efficient Designs

    Rakhi Singh, Informatics and Analytics, University of North Carolina at Greensboro, Satya Singh, Mathematics, Indian Institute of Technology Hyderabad, Wei Zheng, Business Analytics and Statistics,university of tennessee

    Chair : John Stufken

    Organizer : Abhyuday Mandal, University Of Georgia

    Venue : Room 2

    Selection of 2-level supersaturated designs for main effects models Rakhi Singh, Informatics and Analytics, University of North Carolina at Greensboro John Stufken, University of North Carolina at Greensboro

    Min–Max Crossover Designs for Two Treatments Binary and Poisson Crossover Trials Satya Singh, Mathematics, Indian Institute of Technology Hyderabad Mukhopadhyay Siuli, Indian Institute of Technology of Bombay Raj Harsh, Indian Institute of Technology of Hyderabad

    Fast Approximation of Shapley Values Wei Zheng, Business Analytics and Statistics,university of tennessee liuqing Yang, Nankai University Yongdao Zhou, Nankai University Haoda Fu, Eli Lilly and Company Minqian Liu, Nankai University

    IS 63 Modeling and Analysis of High Dimensional Graphs, Networks, and Tensors

    Yuan Zhang, Statistics,The Ohio State University, Anru Zhang, Statistics,University of Wisconsin-Madison / Duke University, Feng Liang, Statistics Department, UIUC,University of Illinois at Urbana-Champaign

    Chair : Naveen Naidu Narisetty, University Of Illinois Urbana-Champaign

    Organizer : Naveen Naidu Narisetty, University Of Illinois Urbana-Champaign

    Venue : Room 3

    Edgeworth expansion for network moments Yuan Zhang, Statistics,The Ohio State University Dong Xia, Hong Kong University of Science and Technology

    An Optimal Statistical and Computational Framework for Generalized Tensor Estimation Anru Zhang, Statistics,University of Wisconsin-Madison / Duke University

    Bayesian Regularization and Estimation for Gaussian Conditional Random Fields Feng Liang, Statistics Department, UIUC,University of Illinois at Urbana-Champaign Lingrui Gan, Facebook Naveen N Narisetty, University Of Illinois Urbana-Champaign

    IS 64 Advances in High-Dimensional Bayesian Methodology

    Anirban Bhattacharya, Statistics, Texas A&M University, Debdeep Pati, Statistics, Texas A&M University, Kshitij Khare, Department of Statistics, University of Florida

    Chair : Khare Kshitij

    Organizer : Kshitij Khare, University Of Florida

    Venue : Room 4

    Dynamics of mean-field approximation: a case-study in singular models Anirban Bhattacharya, Statistics, Texas A&M University Debdeep Pati, Texas A&M University Yun Yang, University Of Illinois At Urbana-champaign Sean Plummer, Texas A&M University

    Statistical optimality and stability of tangent transform algorithms Debdeep Pati, Statistics, Texas A&M University Anirban Bhattacharya, Texas A&M University Indrajit Ghosh, Texas A&M University

    Lag selection and estimation in mixed frequency regression using Bayesian nested lasso Kshitij Khare, Department of Statistics, University of Florida Satyajit Ghosh, FDA George Michailidis, University Of Florida

    IS 65 Statistical methods for genetic prediction of disease using ’omics data

    Brandon Coombes, Department of Quantitative Health Sciences, Mayo Clinic, Chong Wu, Department Of Statistics, Florida State University

    Chair : Coombes Brandon

    Organizer : Brandon Coombes, Mayo Clinic

    Venue : Room 5

    Application of polygenic risk scores to diverse populations Brandon Coombes, Department of Quantitative Health Sciences, Mayo Clinic Anthony Batzer, Mayo Clinic Gregory Jenkins, Mayo Clinic Euijung Ryu, Mayo Clinic

    Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation: a multi-phased study of prostate cancer Chong Wu, Department Of Statistics, Florida State University Jingjing Zhu, Cancer Epidemiology Division, Population Sciences In The Pacific Program, University Of Hawaii Cancer Center, University Of Hawaii At Manoa, Honolulu, HI, USA Austin King, Department Of Statistics, Florida State University Xiaoran Tong, Department Of Epidemiology And Biostatistics, Michigan State University, East Lansing, MI, USA Qing Lu, Jong Y Park, Liang Wang, Guimin Gao, Hong-wen Deng, Yaohua Yang, Karen E Knudsen, Timothy R Rebbeck, Jirong Long, Wei Zheng, Wei Pan, David V Conti, Christopher A Haiman, Lang Wu

    Discussant: Brandon Coombes, Department of Quantitative Health Sciences, Mayo Clinic

    IS 66 Modern computational methods for spatial data

    Somak Dutta, Statistics, Iowa State University, Zhou Lan, Yale School of Medicine, Indranil Sahoo, Statistical Sciences & Operations Research,Virginia Commonwealth University

    Chair : Datta Abhirup

    Organizer : Abhirup Datta, Johns Hopkins University

    Venue : Room 6

    A matrix-free profile likelihood method for high-dimensional factor model Somak Dutta, Statistics, Iowa State University Fan Dai, Michigan Technological University Ranjan Maitra, Iowa State University

    A Joint Spatial Conditional Auto-Regressive Model for Estimating HIV Prevalence Rates Among Key Populations Zhou Lan, Yale School of Medicine Le Bao, Penn State University

    Test for Isotropy on a Sphere using Spherical Harmonic Coefficients Indranil Sahoo, Statistical Sciences & Operations Research,Virginia Commonwealth University Joseph Guinness, Cornell University Brian J. Reich, North Carolina State University

Day 4 Agenda : ( US Central time )

  • 10:00 - 10:30

  • In Memorium: Professor Hukum Chandra (1972 - 2021)

    A registration, separate from the IISA 2021 is required. The registration is free. Please register here.
    The system will send the necessary links to the e-mail address used for registration.
    Venue : Room GB
  • 10:30 - 10:40

  • Break

  • 10:40 - 12:00

  • Meeting 1 IISA General Body Meeting

    IISA General Body Meeting
    The room could be accessed from the same link as above.
    Venue : Room GB
  • The Zoom links to the conference sessions are provided in the program schedule below.
  • The Plenary and Special Invited lectures are in “webinar” format. Invited sessions and Student presentations are in “meeting” format. For the webinar format, you may be asked to provide an email address. You can use any of your emails.
  • All sessions will be held live on zoom.
  • Speakers and Session Chairs: Please access guidelines for Speakers and Session Chairs here.
  • Please download the Program book here. This Program booklet contains details about IISA 2021 conference including conference program, presentation abstracts and includes Zoom links to the sessions
  • Day 1 - May 20th, 2021
  • Day 2 - May 21st, 2021
  • Day 3 - May 22nd, 2021
  • Day 4 - May 23rd, 2021

Day 1 Agenda : ( US Central time )

  • 08:00 - 08:30

  • Conference Inaugaration Zoom Link

    Wayne H. Giles, Dean, School of Public Health, University of Illinois Chicago, Ansu Chatterjee, School of Statistics, University of Minnesota, Saonli Basu, Division of Biostatistics, University of Minnesota

    Chair : Sanjib Basu, School of Public Health, University of Illinois Chicago

    Venue : Room A

  • 08:30 - 09:30

  • Plenary Session

    Plenary Lecture 1, Nilanjan Chatterjee, Johns Hopkins University Zoom Link

    Chair : Saonli Basu

    Venue : Room A

    Individualized Risk Prediction: Lessons from Genetics and COVID-19 Nilanjan Chatterjee, 615 N WOLFE ST, Suite E3527,Johns Hopkins University Jin Jin, Johns Hopkins University Prosenjit Kundu, Johns Hopkins University Neha Agarwala, University of Maryland Haoyu Zhang, Harvard University

  • 09:45 - 11:00

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 1 New Advances in Estimands for the treatment effect in clinical trials Zoom Link

    Hakeem Wahab, Statistics, Purdue University, Ilya Lipkovich, Real world analytics,Eli Lilly and Company, Yongming Qu, Department of Data and Analytics, Eli Lilly and Company

    Chair : Shanthi Sethuraman, Eli Lilly and Company

    Organizer : Shanthi Sethuraman, Eli Lilly and Company

    Venue : Room 1

    New Perspectives on Causal Inference in Clinical Trials With Multiple Endpoints, Repeated Measures and Subject Non-Adherence Hakeem Wahab, Statistics, Purdue University Stephen Ruberg, Analytix Thinking Hege Michiels, Ghent University Arman Sabbaghi, Purdue University

    Causal inference and estimands in clinical trials Ilya Lipkovich, Real world analytics,Eli Lilly and Company Bohdana Ratitch, Bayer Craig Mallinckrodt, Biogen Idec

    Recent advances in defining estimands and imputation of missing data in clinical trials Yongming QU, Department of Data and Analytics,Eli Lilly and Company

    IS 2 Recent advances in adaptive design clinical trials Zoom Link

    Greg Cicconetti, Teri Anderson, AbbVie, Tianyu Zhan, Data and Statistical Sciences, AbbVie Inc., Pranab Ghosh, Biostatistics,Pfizer Inc.

    Chair : Madan Kundu, Daiichi Sankyo Inc

    Organizer : Madan Kundu, Daiichi Sankyo Inc

    Venue : Room 2

    Simulation Practices for Adaptive Clinical Trial Design in Drug and Device Development Greg Cicconetti, Teri Anderson, AbbVie

    A practical Response Adaptive Block Randomization (RABR) design with analytic type I error protection Tianyu Zhan, Data and Statistical Sciences, AbbVie Inc.,Data and Statistical Sciences, AbbVie Inc

    Adaptive Multi-Arm Multi-Stage Design Pranab Ghosh, Biostatistics, Pfizer Inc.

    IS 3 Big Data and Modern Designs Zoom Link

    Arman Sabbaghi, Purdue University Department of Statistics, Jie Yang, Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago, Ping Ma, Statistics, University of Georgia

    Chair : Dibyen Majumdar, Math., Stat. and Comp., Sci, UIC,University of Illinois at Chicago

    Organizer : Abhyuday Mandal, University of Georgia

    Venue : Room 3

    Collaborative Design for Improved Causal Machine Learning on Big Observational Data Arman Sabbaghi, Purdue University Department of Statistics, Purdue University Department of Statistics Yumin Zhang, Purdue University Department of Statistics

    Score-Matching Representative Approach for Big Data Analysis with Generalized Linear Models Jie Yang, Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago Keren Li, Northwestern University

    Statistical Computing Meets Quantum Computing Ping Ma, Statistics, University of Georgia

    IS 4 Statistical methods and applications to problems related to management Zoom Link

    Sujay Mukhoti, Operations Management and Quantitative Techniques, Indian Institute of Management Indore, Arkaprava Roy, University Of Florida, Bikram Karmakar, Statistics, University Of Florida

    Chair : Karthik Sriram, Indian Institute of Management Ahmedabad,India

    Organizer : Karthik Sriram, Indian Institute of Management Ahmedabad,India

    Venue : Room 4

    Distribution free estimation of optimal order quantity for a newsboy Sujay Mukhoti, Operations Management and Quantitative Techniques, Indian Institute of Management Indore

    Bayesian time-aligned factor analysis of paired multivariate time series Arkaprava Roy, Arkaprava Roy, University Of Florida David Dunson, Duke University Jana Schaich-Borg, Duke University

    Reinforced designs: Multiple instruments plus control groups as evidence factors in an observational study Bikram Karmakar, Statistics, University Of Florida Dylan S. Small, University Of Pennsylvania Paul R. Rosenbaum, University Of Pennsylvania

    IS 5 On Some Recent Advances in Nonparametric Statistics Zoom Link

    Adityanand Guntuboyina, Statistics, University Of California Berkeley, Arun Kuchibhotla, Department Of Statistics And Data Science, Carnegie Mellon University, Rohit Patra, Department Of Statistics, University Of Florida

    Chair : Bodhisattva Sen, Columbia University

    Organizer : Bodhisattva Sen, Columbia University

    Venue : Room 5

    Convex Regression in High Dimensions Adityanand Guntuboyina, Statistics, University Of California Berkeley Gil Kur, Massachusetts Institute Of Technology Fuchang Gao, University Of Idaho Bodhisattva Sen, Columbia University

    Refined Maximal Inequalities with Applications to Oracle Inequalities Arun Kuchibhotla, Department Of Statistics And Data Science, Carnegie Mellon University

    Least Squares Estimation of a Monotone Quasiconvex Regression Function Rohit Patra, Department Of Statistics, University Of Florida Somabha Mukherjee, University Of Pennsylvania Andrew L Jhonson, Amazon Hiroshi Morita, Osaka University

    IS 6 Advancements in spatio-temporal modeling under big-data framework Zoom Link

    Stefano Castruccio, University Of Notre Dame, Yawen Guan, Statistics, University Of Nebraska - Lincoln, Rajarshi Guhaniyogi, Statistics, UC Santa Cruz

    Chair : Indranil Sahoo, Virginia Commonwealth University

    Organizer : Indranil Sahoo, Virginia Commonwealth University

    Venue : Room 6

    Stochastic Generators with Global Spatio-Temporal Locally Diffusive SPDE Models Stefano Castruccio, University Of Notre Dame Geir-Arne Fuglstad, Norwegian University Of Science And Technology

    Multivariate spectral downscaling for PM2.5 species Yawen Guan, Statistics, University Of Nebraska - Lincoln Brian J Reich, North Carolina State University James A Mulholland, Georgia Tech Howard H Chang, Emory University

    Computing models with big data: privacy consideration, distributed implementation Rajarshi Guhaniyogi, Statistics, UC Santa Cruz

  • 11:15 - 12:30

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 7 Big Data and Advanced Analytics in Pharmaceutical Development Zoom Link

    Melvin Munsaka, Statistical Sciences, AbbVie, Hongwei Wang, Global Medical Affairs Statistics, AbbVie, Yunzhao Xing, Data and Statistical Science, AbbVie

    Chair : Li Wang, Data and Statistical Sciences, AbbVie

    Organizer : Haoda Fu, AbbVie

    Venue : Room 1

    Visual Analytics, Big Data, and Drug Safety with a Focus on Text Mining and Natural Language Processing Melvin Munsaka, Statistical Sciences, AbbVie Kefei Zhou, Bristol Myers Squibb Krishan Singh, Glaxosmithkline (Retired)

    Analytic framework for non-randomized single-arm clinical trials with external RWD control Hongwei Wang, Global Medical Affairs Statistics, AbbVie Yixin Fang, Abb Vie Weili He, Abb Vie

    Advanced Machine Learning to Predict Enrollment to Expedite Clinical Trials Yunzhao Xing, Data and Statistical Science, AbbVie Li Wang, AbbVie

    IS 8 Data Visualization Zoom Link

    Abigail Sloan, Biostatistics, Pfizer, Cathleen Jewell, Clinical Analytics, AbbVie, Mallikarjuna Rettiganti, Neuroscience, Eli Lilly And Company

    Chair : Vipin Arora, Eli Lilly and Company

    Organizer : Vipin Arora, Eli Lilly and Company

    Venue : Room 2

    Effective use of Visual Analytics in Monitoring Clinical Trial Data Abigail Sloan, Biostatistics, Pfizer Anindita Banerjee, Pfizer

    On-demand safety and efficacy insights Cathleen Jewell, Clinical Analytics, AbbVie

    Techniques and methods for data visualization in clinical trials illustrated with examples Mallikarjuna Rettiganti, Neuroscience, Eli Lilly And Company Bochao Jia, Eli Lilly And Company Eric Wolf, Eli Lilly And Company Jakub Jedynak, Eli Lilly And Company

    IS 9 Advances in high-dimensional inference Zoom Link

    Xiaodong Li, Uc Davis/statistics, UC Davis, Ethan Anderes, Department of Statistics, University of California at Davis, Gourab Mukherjee, Department of Data Sciences & Operations, University of Southern California

    Chair : Debashis Paul, University of California, Davis

    Organizer : Debashis Paul, University of California, Davis

    Venue : Room 3

    Consistency of Spectral Clustering on Hierarchical Stochastic Block Models Xiaodong Li, Uc Davis/statistics, UC Davis Lihua Lei, Stanford University Xingmei Lou, UC Davis

    ODE backpropagation dynamics and reparameterization for high dimensional lensing inference from the CMB polarization Ethan Anderes, Department of Statistics, University of California at Davis

    Improved Nonparametric Empirical Bayes Estimation using Transfer Learning Gourab Mukherjee, Department of Data Sciences & Operations, University of Southern California

    IS 10 Survey Sampling and Small Area Estimation Zoom Link

    Jennifer Pajda-de Lao, Mathematics, Statistics, And Computer Science, University Of Illinois At Chicago, Emily Berg, Statistics, Iowa State University

    Chair : Min Yang, Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago

    Organizer : Jennifer Pajda-de Lao, University Of Illinois At Chicago

    Venue : Room 4

    Median-Unbiasedness in Finite Population Survey Sampling Jennifer Pajda-de Lao, Mathematics, Statistics, And Computer Science, University Of Illinois At Chicago A. S. Hedayat, University Of Illinois At Chicago

    Edge Selection for Graphical Models with Mixed Types under Informative Sampling Emily Berg, Statistics, Iowa State University Hao Sun, Iowa State University Zhengyuan Zhu, Iowa State University

    IS11 Recent Advances in High-Dimensional Time Series Analysis Zoom Link

    Sumanta Basu, Statistics and Data Science, Cornell Uniersity, Ali Shojaie, Biostatistics,University of Washington, Abolfazl Safikhani, University Of Florida, University Of Florida

    Chair : Abhirup Datta, Johns Hopkins University

    Organizer : Sumanta Basu, Cornell University

    Venue : Room 5

    Large Spectral Density Matrix Estimation by Thresholding Sumanta Basu, Statistics and Data Science,Cornell Uniersity

    Statistical Inference for Networks of Point Processes Ali Shojaie, Biostatistics,University of Washington

    Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models Abolfazl Safikhani, University Of Florida, University Of Florida Peiliang Bai, University Of Florida George Michailidis, University Of Florida

    IS 12 Statistical contributions from the field of Genetics Zoom Link

    Pratyaydipta Rudra, Statistics, Oklahoma State University, Ni Zhao, Johns Hopkins University, Assistant professor of Biostatistics, Qiongshi Lu, Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison

    Chair : Debashree Ray, Johns Hopkins University

    Organizer : Debashree Ray, Johns Hopkins University

    Venue : Room 6

    Kernel Distance Covariance Approach for Testing Association in Longitudinal Studies Pratyaydipta Rudra, Statistics, Oklahoma State University

    A Log–Linear Model for Inference on Bias in Microbiome Studies Ni Zhao, Johns Hopkins University, Assistant professor of Biostatistics Glen Satten, Emory University

    Fine-tuning genetic prediction models using marginal association statistics Qiongshi Lu, Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison

  • 12:30 - 13:00

  • Break

  • 13:00 - 14:30

  • Special Invited Sessions

    Special Invited Lecture 1, Siddhartha Chib and Michael Newton Zoom Link

    Siddhartha Chib, Olin Business School, Washington University in Saint Louis, Michael Newton, Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison

    Chair : Sanjay Chaudhuri, National University of Singapore

    Venue : Room B

    Bayesian Estimation and Comparison of Conditional Moment Models Siddhartha Chib, Olin Business School, Washington University in Saint Louis Minchul Shin, Federal Reserve Bank, Philadelphia Anna Simoni, CREST, CNRS, Ecole Polytechnique, Paris

    Empirical Bayes and the false discovery rate, revisited Michael Newton, Department of Statistics and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison

    Special Invited Lecture 2, Mousumi Banerjee and Susan Paddock Zoom Link

    Mousumi Banerjee, Susan Paddock, Statistics and Methodology, NORC at the University of Chicago

    Chair : Pralay Mukhopadhyay, Department of Biometrics, Otsuka America Pharmaceuticals Inc

    Venue : Room C

    Statistical Issues and Challenges in Analyzing Data from a Quality Improvement Collaborative Mousumi Banerjee, Biostatistics, University of Michigan

    Causal Inference Under Interference in Dynamic Therapy Group Studies Susan Paddock, Statistics and Methodology, NORC at the University of Chicago Bing Han, RAND Corporation Lane Burgette, RAND Corporation

  • 14:45 - 16:00

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 13 New developments in Statistics Zoom Link

    Chen Zhen, Agricultural and Applied Economics,University of Georgia, Abhyuday Mandal, University Of Georgia, University Of Georgia

    Chair : Sanjay Chaudhuri, National University of Singapore

    Organizer : Gauri Sankar Datta, University Of Georgia, US Census Bureau

    Venue : Room 1

    Using Household and Retail Scanner Data to Inform Food and Nutrition Policy Chen Zhen, Agricultural and Applied Economics,University of Georgia Lan Mu, University of Georgia Gauri Datta, University of Georgia Chandra Dhakal, University of Georgia

    A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations Abhyuday Mandal, University Of Georgia, University Of Georgia Gauri S Datta, University Of Georgia Adrijo Chakraborty, U.S. Food And Drug Administration Shuchi Goyal, University Of California, Los Angeles

    Bayesian Hierarchical Spatial Models for Small Area Estimation Hee Cheol Chung, Department of Statistics,Texas A&M University Gauri Shankar Datta, University Of Georgia

    IS 14 Recent Advancement in Statistical and Computational Methods for Precision Medicine Zoom Link

    Haoda Fu, Eli Lilly and Company, Yixin Fang, Data and Statistical Sciences, AbbVie, Xin Huang, Discovery and Exploratory Statistics (DIVES), Data & Statistical Sciences, AbbVie Inc.

    Chair : Xin Huang, AbbVie

    Organizer : Xin Huang, AbbVie

    Venue : Room 2

    Examples and Stories: Computer Scientists and Statisticians What we need to learn from each other Haoda Fu, Eli Lilly and Company

    The two strategies in estimating the values of dynamic treatment regimes Yixin Fang, Data and Statistical Sciences, AbbVie

    Causal Machine Learning for predictive biomarker identification Xin Huang, Discovery and Exploratory Statistics (DIVES), Data & Statistical Sciences, AbbVie Inc.

    IS 15 Bayesian Machine Learning Zoom Link

    Robert Mcculloch, School Of Mathematical And Statistical Sciences, Arizona State, Qian Qin, School of Statistics, University of Minnesota, Xiao Li, Biostatistics, Medical College Of Wisconsin

    Chair : Purushottam Laud

    Organizer : Purushottam , Medical College of Wisconsin

    Venue : Room 3

    Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning Robert Mcculloch, School Of Mathematical And Statistical Sciences, Arizona State Purushottam Laud, Medical College Of Wisconsin Brent Logan, Medical College Of Wisconsin Rodney Sparapani, Medical College Of Wisconsin

    Convergence complexity analysis of MCMC algorithm Qian Qin, School of Statistics, University of Minnesota James P. Hobert, University of Florida

    Mixture cure rate models with BART Xiao Li, Biostatistics, Medical College Of Wisconsin Rodney Sparapani, Medical College Of Wisconsin Brent Logan, Medical College Of Wisconsin

    IS 16 Empirical Bayes Methodology Zoom Link

    Wenguang Sun, University Of Southern California, Session On Empirical Bayes Methodology, Bodhisattva Sen, Department Of Statistics, Columbia University, Will Fithian, Statistics, UC Berkeley, UC Berkeley Statistics

    Chair : Aditya Guntuboyina

    Organizer : Adityanand Guntuboyina, University of California Berkeley

    Venue : Room 4

    Improved Nonparametric Empirical Bayes Estimation By Transfer Learning Wenguang Sun, University Of Southern California, Session On Empirical Bayes Methodology Gourab Mukherjee, University Of Southern California Jiajun Luo, University Of Southern California

    Estimating an Unknown Multi-dimensional Prior from Heterogeneous Data via Nonparametric Maximum Likelihood Bodhisattva Sen, Department Of Statistics, Columbia University Jake Soloff, University Of California At Berkeley Adityanand Guntuboyina, University Of California At Berkeley

    Conditional calibration for FDR control under dependence Will Fithian, Statistics, UC Berkeley, UC Berkeley Statistics Lihua Lei, Stanford University

    IS 17 Recent Advances in Estimation theory Zoom Link

    Bhaswar Bhattacharya, Statistics, University Of Pennsylvania, Sabyasachi Chatterjee, Statistics, University Of Illinois At Urbana-champaign, Sumit Mukherjee, Columbia University

    Chair : Bhaswar Bhattacharya, Statistics,University of Pennsylvani

    Organizer : Gourab Mukherjee, Department of Data Sciences & Operations,University of Southern California

    Venue : Room 5

    Motif Estimation via Subgraph Sampling: The Fourth-Moment Phenomenon Bhaswar Bhattacharya, Statistics, University Of Pennsylvania Sayan Das, Columbia University Sumit Mukherjee, Columbia University

    Piecewise Polynomial Estimation on Grids by Dyadic CART and Optimal Regression Tree Sabyasachi Chatterjee, Statistics, University Of Illinois At Urbana-champaign Subhajit Goswami, Tata Institute Of Fundamental Research

    Global testing for dependent Bernoullis Sumit Mukherjee, Columbia University Nabarun Deb, Columbia University Rajarshi Mukherjee, Harvard University Ming Yuan, Columbia University

    IS 18 Methods for Single-cell and Microbiome Sequencing Data Zoom Link

    Ali Rahnavard, Biostatistics And Bioinformatics, George Washington University, Himel Mallick, Biostatistics And Research Decision Sciences, Merck Research Laboratories, Shrabanti Chowdhury, Genetics And Genomic Sciences, Icahn School Of Medicine At Mount Sinai

    Chair : Soutik Ghosal, NICHD/DIPHR

    Organizer : Himel Mallick, Biostatistics and Research Decision Sciences, Merck Research Laboratories

    Venue : Room 6

    Omics Community Detection using Multi-resolution Clustering Ali Rahnavard, Biostatistics And Bioinformatics, George Washington University Himel Mallick, Merck & Co., Inc. Suvo Chatterjee, National Institutes Of Health Bahar Sayoldin, George Mason University Keith A. Crandall, George Washington University

    Differential expression of single-cell RNA-seq data using Tweedie models Himel Mallick, Biostatistics And Research Decision Sciences, Merck Research Laboratories Suvo Chatterjee, National Institutes Of Health Shrabanti Chowdhury, Icahn School Of Medicine At Mount Sinai Sapatarshi Chatterjee, Eli Lilly & Company Ali Rahnavard, Stephanie Hicks, George Washington University, Johns Hopkins University

    Learning directed acyclic graphs based on single cell RNAseq data Shrabanti Chowdhury, Genetics And Genomic Sciences, Icahn School Of Medicine At Mount Sinai

    IS 19 Orphan and Rare Diseases Zoom Link

    Zailong Wang, AbbVie, Jeff Palmer, Early Clinical Development Statistics, Pfizer, Inc, Yannis Jemiai, Cytel

    Chair : Hrishikesh Kulkarni, Alexion Pharmaceuticals

    Organizer : Hrishikesh Kulkarni, Alexion Pharmaceuticals

    Venue : Room 7

    Statistical Considerations in Clinical Trial Design for Rare Diseases Zailong Wang, AbbVie Lanju Zhang, AbbVie

    The Role of Natural History Data in Rare Disease Clinical Development Jeff Palmer, Early Clinical Development Statistics, Pfizer, Inc

    Efficient Trial Design Selection in Rare Disease Clinical Development Yannis Jemiai, Cytel

  • 16:30 - 17:45

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 20 Emerging Statistical Innovations in Clinical Research Zoom Link

    Xiaotian Chen, Data and Statistical Science, AbbVie, David Ipe, Data and Statistical Science, AbbVie

    Chair : Li Wang, Data and Statistical Science, AbbVie

    Organizer : Saurabh Mukhopadhyay, Data and Statistical Science, AbbVie

    Venue : Room 1

    Digital endpoint development in atopic dermatitis clinical trials: using deep learning to quantify nocturnal scratch based on actigraphy data Xiaotian Chen, Data and Statistical Science, AbbVie Li Wang, Data and Statistical Science, AbbVie

    Bayesian Interim Decision Strategy in Phase III Time-To-Event Study David Ipe, Data and Statistical Science, AbbVie Saurabh Mukhopadhyay, Data and Statistical Science, AbbVie

    Discussant: Saurabh Mukhopadhyay, Data and Statistical Science, AbbVie

    IS 21 Exchangeability and its applications in Clinical trials Zoom Link

    Emily Zabor, Department Of Quantitative Health Sciences, Cleveland Clinic, Matthew Psioda, Department of Biostatistics,Department of Biostatistics, Alexander Kaizer, Biostatistics And Informatics, University Of Colorado-Anschutz Medical Campus

    Chair : Tanujit Dey, Brigham and Women’s Hospital, Harvard Medical School

    Organizer : Tanujit Dey, Brigham and Women’s Hospital, Harvard Medical School

    Venue : Room 2

    Bayesian Basket Trial Design with False Discovery Rate Control Emily Zabor, Department Of Quantitative Health Sciences, Cleveland Clinic Brian Hobbs, The University Of Texas At Austin Michael Kane, Yale University Satrajit Roychoudhury, Pfizer, Inc Lei Ni, U.S. Food And Drug Administration

    Bayesian Design of Pediatric Clinical Trials with Prospective Incorporation of Data from Adult Trials Matthew Psioda, Department of Biostatistics,Department of Biostatistics

    Sequential basket trial design based on multi-source exchangeability with predictive probability monitoring Alexander Kaizer, Biostatistics And Informatics, University Of Colorado-Anschutz Medical Campus Emily Zabor, Cleveland Clinic Nan Chen, Gilead Sciences Brian Hobbs, University Of Texas-Austin

    IS 22 Big data analytics with applications to astronomy Zoom Link

    Giovanni Motta, Statistics,Texas A&M, Department of Statistics, Vinay KASHYAP, High-Energy Astrophysics Division,Center for Astrophysics — Harvard & Smithsonian, David Jones, Department Of Statistics, Texas A&M University

    Chair : Samiran Sinha, Texas A&M University

    Organizer : Samiran Sinha, Texas A&M University

    Venue : Room 3

    Adaptive Methods for Time-Modulated Variable Stars Giovanni Motta, Statistics,Texas A&M, Department of Statistics

    X-ray Astronomy in 4 Dimensions Vinay KASHYAP, High-Energy Astrophysics Division,Center for Astrophysics — Harvard & Smithsonian

    Improving Exoplanet Detection Power: Multivariate Gaussian Process Models for Stellar Activity David Jones, Department Of Statistics, Texas A&M University David C. Stenning, Simon Fraser University Eric B. Ford, Penn State University Robert L Wolpert, Duke University Thomas J Loredo, Cornell University

    IS 23 Biostatistics with Bayesian Additive Regression Trees Zoom Link

    Rupam Bhattacharyya, Biostatistics, University Of Michigan, Charles Spanbauer, Biostatistics, University Of Minnesota, Rodney Sparapani, Division Of Biostatistics, Medical College Of Wisconsin

    Chair : Purushottam Laud

    Organizer : Rodney Sparapani, Medical College Of Wisconsin

    Venue : Room 4

    TransPRECISE: Personalized Network Modeling of the Pan-cancer Patient and Cell Line Interactome Rupam Bhattacharyya, Biostatistics, University Of Michigan Min Jin Ha, The University Of Texas MD Anderson Cancer Center Qingzhi Liu, University Of Michigan Rehan Akbani, The University Of Texas MD Anderson Cancer Center Han Liang, The University Of Texas MD Anderson Cancer Center

    Random Effects with Bayesian Additive Regression Trees for Precision Medicine Charles Spanbauer, Biostatistics, University Of Minnesota Rodney Sparapani, Medical College Of Wisconsin

    Nonparametric Failure Time with BART and DPM LIO Rodney Sparapani, Division Of Biostatistics, Medical College Of Wisconsin Laud, Purushottam, Medical College Of Wisconsin Logan, Brent, Medical College Of Wisconsin Mcculloch, Robert, Arizona State University Pratola, Matt, Ohio State University

    IS 24 Advances in statistical methods for survival analysis Zoom Link

    Soyoung Kim, Division Of Biostatistics, Medical College Of Wisconsin, Lu Mao, Biostatistics and Medical Informatics, University of Wisconsin-Madison Noorie Hyun, Division of Biostatistics, Medical College of Wisconsin

    Chair : Sunyoung Shin, University of Texas at Dallas

    Organizer : Sunyoung Shin, University of Texas at Dallas

    Venue : Room 5

    Efficient competing risks regression models under the generalized case-cohort design Soyoung Kim, Division Of Biostatistics, Medical College Of Wisconsin Yayun Xu, Merck Pharmaceutical Company Mei-jie Zhang, Kwang Woo Ahn, Division Of Biostatistics, Medical College Of Wisconsin David Couper, Department Of Biostatistics, University Of North Carolina At Chapel Hill

    On recurrent-event win ratio Lu Mao, Biostatistics and Medical Informatics, University of Wisconsin-Madison KyungMann Kim, University of Wisconsin-Madison Yi Li, University of Wisconsin-Madison

    Survival Trees for Informative Interval-Censored Data Noorie Hyun, Division of Biostatistics, Medical College of Wisconsin Xiao Li, Medical College of Wisconsin

    IS 25 Advances in Graphical Modeling Zoom Link

    Veera Baladandayuthapani, Biostatistics, University Of Michigan, Jian Kang, University of Michigan, Lin Zhang, Division of Biostatistics, University of Minnesota

    Chair : Lin Zhang, University of Minnesota

    Organizer : Lin Zhang, University of Minnesota

    Venue : Room 6

    Bayesian Integrative Approaches to Enable Precision Medicine Veera Baladandayuthapani, Biostatistics, University Of Michigan Min Jin Ha, Abhisek Saha, Satwik Acharyya, Md Anderson, Nih, University Of Michigan

    Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process Jian Kang, University of Michigan Ben Wu, Renmin University Ying Guo, Emory University

    Bi-level graphical modeling of functional connectivity analysis of resting-state fMRI data Lin Zhang, Division of Biostatistics, University of Minnesota

Day 2 Agenda : ( US Central time )

  • 08:30 - 09:30

  • Plenary Session

    Plenary Lecture 2, Kannan Natarajan Zoom Link

    Chair : Amarjot KAUR, Merck Inc.

    Venue : Room A

    Drug Development in the 21st Century Need for Innovation in Statistical Thinking

  • 09:45 - 11:00

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 26 Drug Safety Analysis Zoom Link

    Barbara Hendrickson, Pharmacovigilance And Patient Safety, AbbVie, Kentaro Takeda, Data Science, Astellas Pharma Global Development, Inc, Erya Huang, Clinical Statistics,Bayer U.S. LLC

    Chair : Hrishikesh Kulkarni, Alexion Pharmaceuticals

    Organizer : Hrishikesh Kulkarni, Alexion Pharmaceuticals

    Venue : Room 1

    Aggregate Safety Analysis and Planning in Clinical Development Barbara Hendrickson, Pharmacovigilance And Patient Safety, AbbVie

    TITE-BOIN-ET: Time-to-event Bayesian optimal interval design to accelerate dosefinding based on both efficacy and toxicity outcomes Kentaro Takeda, Data Science, Astellas Pharma Global Development, Inc Satoshi Morita, Kyoto University Masataka Taguri, Yokohama City University

    The Full Picture: Making the Data Insight a Reality Erya Huang, Clinical Statistics,Bayer U.S. LLC

    IS 27 Innovative Methods in Clinical Trials Zoom Link

    Arkendu Chatterjee, Global Biometrics and Data Science, BMS, Associate Director, BMS, Erina Paul, Biostatistics and Research Decision Sciences,Merck & Co., Inc, Sudipta Bhattacharya, Sqs, Biostatistics, Takeda

    Chair : Rianka Bhattacharya, Abbvie Inc

    Organizer : Rianka Bhattacharya, Abbvie Inc

    Venue : Room 2

    REVIEW ON MODEL DIAGNOSTICS FOR INCOMPLETE DATA Arkendu Chatterjee, Global Biometrics and Data Science, BMS, Associate Director, BMS

    New Approaches for Testing Non-inferiority for Three-arm Trials with Poisson Distributed Outcome Erina Paul, Biostatistics and Research Decision Sciences,Merck & Co., Inc Samiran Ghosh Shrabanti Chowdhury Ram Tiwari

    Assessing contribution of treatment phases through tipping point analyses using rank preserving structural failure time models Sudipta Bhattacharya, Sqs, Biostatistics, Takeda Dr. Jyotirmoy Dey, Regeneron

    IS 28 Statistical inference for high dimensional data Zoom Link

    Mladen Kolar, The University of Chicago Booth School of Business,The University of Chicago Booth School of Business, Jingshu Wang, Statistics, University Of Chicago, Aki Ishii, Department Of Information Sciences, Tokyo University Of Science

    Chair : Ping-Shou Zhong, University of Illinois at Chicago

    Organizer : Ping-Shou Zhong, University of Illinois at Chicago

    Venue : Room 3

    Inference for Differential Networks in a High-dimensional Setting Mladen Kolar, The University of Chicago Booth School of Business,The University of Chicago Booth School of Business Byol Kim, Irina Gaynanova

    Causal inference in Mendelian Randomization with weak and heterogenous instruments Jingshu Wang, Statistics, University Of Chicago Qingyuan Zhao, University Of Cambridge Jack Bowden, The University Of Exeter Dylan Small, University Of Pennsylvania Nancy R. Zhang, University Of Pennsylvania

    High-dimensional quadratic classifiers under the strongly spiked eigenvalue model Aki Ishii, Department Of Information Sciences, Tokyo University Of Science Kazuyoshi Yata, Institute Of Mathematics, University Of Tsukuba Makoto Aoshima, Institute Of Mathematics, University Of Tsukuba

    IS 29 It’s all about Bayes Zoom Link

    Dipak Dey, Department of Statistics, University of Connecticut, Ananda Sen, Department of Biostatistics, University of Michigan

    Chair : Sanjib Basu, School of Public Health, University of Illinois Chicago

    Organizer : Ananda Sen, Department of Biostatistics, University of Michigan

    Venue : Room 4

    Bayesian Model Assessment and Selection Using Bregman Divergence Dipak Dey, Department of Statistics, University of Connecticut Gyuhyeong Goh, Kansas State University

    A Bayesian Joint Model for Clustered Agreement Data Ananda Sen, Department of Biostatistics, University of Michigan Wen Ye, University of Michigan Pin Li, Henry Ford Health System

    IS 30 Use of Histoical Control Data and Evidence Synthesis in Clinical Trials Zoom Link

    Dai Feng, GMA Statistics, DSS, AbbVie, Antara Majumdar, Statistical Innovations Group, Medidata Acorn AI, Pourab Roy, Office of Biostatistics,FDA

    Chair : Pabak Mukhopadhyay, Daiichi-Sankyo Inc

    Organizer : Pabak Mukhopadhyay, Daiichi-Sankyo Inc

    Venue : Room 5

    Considerations in using External Control from Real-world Data to Support FDA Approvals Dai Feng, GMA Statistics, DSS, AbbVie Meijing Wu, AbbVie Hongwei Wang, AbbVie Yixin Fang, AbbVie Weili He, AbbVie

    Building an external control arm for development of a new molecular entity Antara Majumdar, Statistical Innovations Group, Medidata Acorn AI Ruthie Davi, Medidata Acorn AI

    Use of External Controls in Oncology Trials Pourab Roy, Office of Biostatistics, FDA

    IS 31 Advances in Network Data Analysis. Zoom Link

    Soumendu Sundar Mukherjee, Interdisciplinary Statistical Research Unit (ISRU),indian Statistical Institute, Kolkata, Purnamrita Sarkar, Department of Statistics and Data Sciences, Asst. Prof, Arash Amini, Statistics, UCLA

    Chair : Debashis Mondal, Oregon State University

    Organizer : Shirshendu Chatterjee, City University Of New York

    Venue : Room 6

    Optimal offline changepoint estimation in network sequences Soumendu Sundar Mukherjee, Interdisciplinary Statistical Research Unit (ISRU),indian Statistical Institute, Kolkata Sharmodeep Bhattacharyya, Oregon State University Shirshendu Chatterjee, City University Of New York Trisha Dawn, Indian Statistical Institute, Kolkata Tamojit Sadhukhan, Indian Statistical Institute, Kolkata

    Trading off Accuracy for Speedup: Multiplier Bootstraps for Subgraph Counts Purnamrita Sarkar, Department of Statistics and Data Sciences, Asst. Prof Qiaohui Lin, Student, UT Austin Robert Lunde, Postdoctoral Scholar, UT Austin

    Adjusted chi-square test for degree-corrected block models Arash Amini, Statistics, UCLA Linfan Zhang, UCLA

    Student Paper Competition 1 Theory and Methodology Zoom Link

    Chair : Bodhisattva SEN, Department of Statistics, Columbia Universit

    Venue : Room 7

    Wilson loop expectations for finite gauge groups Sky Cao, Stanford Statistics,Stanfod University

    A Bayesian framework for sparse estimation in high-dimensional mixed frequency Vector Autoregressive models Nilanjana Chakraborty, Statistics, University Of Florida Kshitij Khare, Department Of Statistics, University Of Florida George Michailidis, Department Of Statistics And The Informatics Institute, University Of Florida

    Motif Estimation via Subgraph Sampling Sayan Das, Department Of Mathematics, Columbia University Bhaswar B. Bhattacharya, University Of Pennsylvania Sumit Mukherjee, Columbia University

    Confident predictions even when distributions shift Suyash Gupta, Statistics,Ph.D. student, Statistics, Stanford University Maxime Cauchois, Ph.D. student, Statistics, Stanford University Alnur Ali, Post doctoral candidate, Electrical Engineering, Stanford University John Duchi, Assistant Professor, Statistics and Electrical Engineering, Stanford University

    PROFIT: Projection-based Test in Longitudinal Functional Dat Koner Salil, North Carolina State University So Young PARK Ana-Maria STAICU

  • 11:15 - 12:30

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 32 Some Bayesian Perspectives in Pharmaceutical Statistical Methods Zoom Link

    Ling Wang, Worldwide Research, Development and Medical, Pfizer, Margaret Gamalo, GBDM-Inflammation and Immunology, Pfizer, Neal Thomas, Pfizer, Groton CT USA, Pfizer

    Chair : Arnab Maity, Pfizer

    Organizer : Arnab Maity, Pfizer

    Venue : Room 1

    Practical considerations of using historical data in clinical trials: when, what and how much do we borrow? Ling Wang, Worldwide Research, Development and Medical, Pfizer

    Statistical Construct of Extrapolation: Composite Likelihood and Bayesian Approaches Margaret Gamalo, GBDM-Inflammation and Immunology, Pfizer

    Bayesian Emax dose response modeling Neal Thomas, Pfizer, Groton CT USA, Pfizer

    IS 33 Design and analysis in early-stage clinical trials Zoom Link

    Ying Yuan, Biostatistics,University of Texas MD Anderson Cancer Center, Tian Tian, Biostatistics, BeiGene, Min Yang, Department of Mathematics, Statistics, and Computer Science,University of Illinois at Chicago

    Chair : Min Yang, Department of Mathematics, Statistics, and Computer Science,University of Illinois at Chicago

    Organizer : Min Yang, Department of Mathematics, Statistics, and Computer Science,University of Illinois at Chicago

    Venue : Room 2

    BOIN12: Bayesian Optimal Interval Phase I/II Trial Design for Utility-Based Dose Finding in Immunotherapy and Targeted Therapies Ying Yuan, Biostatistics,University of Texas MD Anderson Cancer Center Ruitao Lin, University of Texas MD Anderson Cancer Center Yanhong Zhou, University of Texas MD Anderson Cancer Center Fangrong Yan, China Pharmaceutical University Daniel Li, Bristol-Myers Squibb

    Optimal Design Theory in Early-Phase Dose-Finding Problems with Late-onset Toxicity Tian Tian, Biostatistics, BeiGene Min Yang, University of Illinois at Chicago

    Proof of concept and dose estimation with binary responses Min Yang, Department of Mathematics, Statistics, and Computer Science,University of Illinois at Chicago

    IS 34 Advanced Statistical Methods for High-Dimensional Data Zoom Link

    Ansu Chatterjee, School Of Statistics, University Of Minnesota, Anirban Mondal, Department Of Mathematics, Applied Mathematics, And Statistics, Case Western Reserve University, Abhijit Mandal, Department of Mathematical Sciences,Assistant Professor, University of Texas at El Paso

    Chair : Abhijit Mandal, Department of Mathematical Sciences,Assistant Professor, University of Texas at El Paso

    Organizer : Anirban Mondal, Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University

    Venue : Room 3

    On High Dimensional, Robust, Unsupervised Record Linkage Ansu Chatterjee, School Of Statistics, University Of Minnesota

    Computer model emulation for high dimensional functional output from satellite remote sensing Anirban Mondal, Department Of Mathematics, Applied Mathematics, And Statistics, Case Western Reserve University Pulong Ma, Samsi, Duke University Jonathan Hobbs, Jet Propulsion Laboratory Emily Kang, University Of Cincinnati Konomi, Bledar, University Of Cincinnati

    Robust Variable Selection Criteria for the Penalized Regression Abhijit Mandal, Department of Mathematical Sciences,Assistant Professor, University of Texas at El Paso Samiran Ghosh, Associate Professor, Wayne State University

    IS 35 Bayesian Modeling and Computation Zoom Link

    Yajuan Si, Survey Research Center,University of Michigan, Vivekananda Roy, Department of Statistics, Iowa State University, Joyee Ghosh, Statistics and Actuarial Science, The University of Iowa

    Chair :

    Organizer : Joyee Ghosh, University of Iowa

    Venue : Room 4

    Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records Yajuan Si, Survey Research Center, University of Michigan Mari Palta, University of Wisconsin-Madison Maureen Smith, University of Wisconsin-Madison

    MCMC algorithms for Bayesian generalized linear mixed models Vivekananda Roy, Department of Statistics, Iowa State University

    Bayesian Modeling of North Atlantic Tropical Cyclone Activity Joyee Ghosh, Statistics and Actuarial Science, The University of Iowa Xun Li, The University of Iowa Gabriele Villarini, The University Of Iowa

    IS 36 Recent Developments in Network Data Inference Zoom Link

    Yuguo Chen, Department of Statistics, University of Illinois at Urbana-Champaign, Subhadeep Paul, Department of Statistics, The Ohio State University, Srijan Sengupta, Statistics,North Carolina State University

    Chair : Srijan Sengupta, North Carolina State University

    Organizer : Srijan Sengupta, North Carolina State University

    Venue : Room 5

    Mixed membership stochastic blockmodels for heterogeneous networks Yuguo Chen, Department of Statistics, University of Illinois at Urbana-Champaign

    Modeling continuous-time networks of relational events Subhadeep Paul, Department of Statistics, The Ohio State University Kevin Xu, University of Toledo Makan Arastuie, University of Toledo

    A nonparametric test of co-spectrality in network Srijan Sengupta, Statistics,North Carolina State University Souvik Seal, Colorado School Of Public Health Abhirup Datta, Johns Hopkins University

    IS 37 Recent Advances in Statistical Genetics Zoom Link

    Shili Lin, Statistics, Ohio State University, Asuman Turkmen, Department Of Statistics, Ohio State University, Saonli Basu, Biostatistics, University Of Minnesota

    Chair : Swati Biswas, University of Texas at Dallas

    Organizer : Swati Biswas, University of Texas at Dallas

    Venue : Room 6

    SBL: Bayesian Lasso for detecting haplotypes associated with survival traits Shili Lin, Statistics, Ohio State University

    Correcting population stratification in association studies of rare genetic variants using generalized PCA Asuman Turkmen, Department Of Statistics, Ohio State University Nedret Billor, Auburn University Yuan Yuan, Auburn University

    Efficient SNP-based Heritability Estimation using Gaussian Predictive Process in Large-scale Cohort Studies Saonli Basu, Biostatistics, University Of Minnesota Souvik Seal, Colorado School Of Public Health Abhirup Datta, Johns Hopkins University

  • 12:30 - 13:15

  • Break

  • 13:15 - 14:30

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 38 Precision Medicine Zoom Link

    Jae Lee, Biomarker Group, Global Biometric and Data Sciences, Bristol Myers Squibb, Maha Karnoub, Translational Medicine Biostatistics, Xin Zhao, Oncolgoy Statistics, Janssen Pharceuticals

    Chair : Rong Liu, BMS

    Organizer : Rong Liu, BMS

    Venue : Room 1

    Comparative Biomarker Modeling for Optimal Patient Selection in Immuno-oncology Jae Lee, Biomarker Group, Global Biometric and Data Sciences,Bristol Myers Squibb

    Innovative Statistical Thinking in Support of Translational Science and Companion Diagnostic Development Maha Karnoub, Daiichi Sankyo - Translational Medicine Biostatistics

    Adaptation Development Strategy for Oncology Biomarker-Driven Registration Trial Xin Zhao, Oncolgoy Statistics, Janssen Pharceuticals Sudhakar Rao, Janssen Pharceuticals

    IS 39 Machine Learning Methods for High-dimensional and Functional Data Zoom Link

    Xiaoli Kong, Department of Mathematics and Statistics,Loyola University Chicago, Gregory Matthews, Mathematics And Statistics, Loyola University Chicago, Swarnali Banerjee, Department Of Mathematics And Statistics, Loyola University Chicago

    Chair : Swarnali Banerjee, Department Of Mathematics And Statistics, Loyola University Chicago

    Organizer : Swarnali Banerjee, Department Of Mathematics And Statistics, Loyola University Chicago

    Venue : Room 2

    High-dimensional rank-based inference for testing relative effects Xiaoli Kong, Department of Mathematics and Statistics,Loyola University Chicago Solomon Harrar, University of Kentucky

    Completion and Classification of Partially Observed Curves with Application to Classification of Bovid Teeth Gregory Matthews, Mathematics And Statistics, Loyola University Chicago Ofer Harel, Karthik Bharath Sebastian Kurtek, Juliet Brophy

    Minimum Cost-Compression Risk in Principal Component Analysis Swarnali Banerjee, Department Of Mathematics And Statistics, Loyola University Chicago Bhargab Chattopadhyay, Indian Institute Of Management Visakhapatnam

    IS 40 Statistical and Computational Advances for Large Scale Data with High Dimensions Zoom Link

    Yun Yang, Statistics, University of Illinois Urbana-Champaign, Alexander Giessing, Department Of Operations Research And Financial Engineering, Princeton University, Naveen Naidu Narisetty, Statistics,University of Illinois at Urbana-Champaign

    Chair : Yuan Zhang, Statistics, The Ohio State University

    Organizer : Naveen Naidu Narisetty, University of Illinois Urbana-Champaign

    Venue : Room 3

    Fast and accurate computation of large-scale kernel ridge regression Yun Yang, Statistics, University of Illinois Urbana-Champaign

    Bootstrapping Lp-Statistics in High Dimensions Alexander Giessing, Department Of Operations Research And Financial Engineering, Princeton University Jianqing Fan, Princeton University

    Bayesian Multiple Quantile Regression Using a Score Likelihood Naveen Naidu Narisetty, Statistics, University of Illinois at Urbana-Champaign Teng Wu, University of Illinois at Urbana-Champaign

    IS 41 Advances in Bayesian semiparametric and linear mixed models Zoom Link

    Subhabrata Majumdar, Data Science And Ai Research, University Of Minnesota,Abhra Sarkar, Statistics And Data Sciences, The University Of Texas At Austin, Choudur Lakshminarayan, Teradata Labs

    Chair : Anirban Mondal, Case Western Reserve University

    Organizer : Anirban Mondal, Case Western Reserve University

    Venue : Room 4

    Simultaneous Selection of Multiple Important Single Nucleotide Polymorphisms in Familial Genome Wide Association Studies Data Subhabrata Majumdar, Data Science And Ai Research, University Of Minnesota Saonli Basu, University Of Minnesota Matt Mcgue, University Of Minnesota Snigdhansu Chatterjee, University Of Minnesota

    Bayesian Semiparametric Longitudinal Functional Mixed Models with Locally Informative Predictors Abhra Sarkar, Statistics And Data Sciences, The University Of Texas At Austin Giorgio Paulon, The University Of Texas At Austin Peter Mueller, The University Of Texas At Austin

    Modeling Heterogeneity in Consumer Preferences using Bayesian Methods Choudur Lakshminarayan, Teradata Labs

    IS 42 Variable selection and its application in biomedical sciences Zoom Link

    Suprateek Kundu, Biostatistics, Emory University, Sounak Chakraborty, Statistics, University Of Missouri-columbia, Tanujit Dey, Center For Surgery And Public Health, BWH, Harvard Medical School

    Chair : Emily Zabor, Department of Quantitative Health Sciences, Cleveland Clinic

    Organizer : Tanujit Dey, Brigham and Women’s Hospital, Harvard Medical School

    Venue : Room 5

    Semi-parametric Bayes Regression and Variable Selection Using Network Valued Covariates. Suprateek Kundu, Biostatistics, Emory University Xin Ma, Emory University Jennifer Stevens, Emory University

    Scalable Bayesian Variable Selection And Grouping For Binary And Multiclass Outcome Data Sounak Chakraborty, Statistics, University Of Missouri-columbia

    EM based approach for analysis of multi-platform genomics data Tanujit Dey, Center For Surgery And Public Health, BWH, Harvard Medical School Sounak Chakraborty, Department Of Statistics, University Of Missouri Hao Xue, Department Of Biostatistics, Harvard School Of Public Health

    Student Paper Competition 2 Applications Zoom Link

    Chair : Sujata Patil, Cleveland Clinic

    Venue : Room 6

    Adaptive and powerful microbiome multivariate association analysis via feature selection Kalins Banerjee, Department of Public Health Sciences,Pennsylvania State University Jun Chen, Division of Biomedical Statistics and Informatics, Mayo Clinic Xiang Zhan, Department of Public Health Sciences, Pennsylvania State University

    Scalable Bayesian Variable Selection And Grouping For Binary And Multiclass Outcome Data Neel M. Desai, Rice University Veera Baladandayuthpani Jeffrey Morris

    mbImpute: an accurate and robust imputation method for microbiome data Ruochen Jiang , Statistics,University of California, Los Angeles Vivian Wei Li, Rutgers School of Public Health Jessica Jingyi Li, University of California, Los Angeles

    An empirical Bayes approach to estimating dynamic models of co-regulated gene expression Sara Venkatraman, Department of Statistics and Data Science,Cornell University, Department of Statistics and Data Science Sumanta Basu, Cornell University, Department of Statistics and Data Science Myung Hee Lee, Weill Cornell Medical College, Department of Medicine Martin T. Wells, Cornell University, Department of Statistics and Data Science

    Joint Latent Space Model for Social Networks with High-dimensional Multivariate Attributes Selena Wang, Ohio State University Subhadeep Paul, Ohio State University Paul De Boeck, Ohio State University

  • 14:45 - 16:00

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 43 Advances in Multiplicity Control Methods in Health care Zoom Link

    Wenge Guo, Mathematical Sciences, New Jersey Institute of Technology, Ajit Tamhane Northwestern University

    Chair : Satya Ravi Siddani, Abbvie Inc.

    Organizer : Satrajit Roy Choudhury, Pfizer Inc

    Venue : Room 1

    A Modified Graphical Approach with Generalized Sequentially Rejective Principle to Control Familywise Error Rate Wenge Guo, Mathematical Sciences, New Jersey Institute of Technology Li Yu, Merck & Co

    Group Sequential Holm and Hochberg Procedures Ajit Tamhane, Northwestern University Jiangtao Gou, Villanova University Dong Xi, Novartis Pharmaceuticals

    Discussant: Pabak MUKHOPADHYAY

    IS 44 Further exploration of the MaxCombo Test in Immuno-Oncology (IO) trials: A followup on the original proposal from the Non-Proportional Hazards (NPH) working group Zoom Link

    Keaven Anderson, Methodology Research, Merck & Co., Inc., Sujit Ghosh, Department of Statistics, North Carolina State University, Pralay Mukhopadhyay, Department Of Biometrics, Otsuka America Pharmaceuticals Inc.

    Chair : Pralay Mukhopadhyay, Department Of Biometrics, Otsuka America Pharmaceuticals Inc

    Organizer : Pralay Mukhopadhyay, Department Of Biometrics, Otsuka America Pharmaceuticals Inc

    Venue : Room 2

    Do MaxCombo and Weighted Logrank Tests Control Type I Error? Keaven Anderson, Methodology Research, Merck & Co., Inc. Pralay Mukhopadhyay, Department Of Biometrics, Otsuka America Pharmaceuticals Inc. Satrajit Roychoudhury, Pfizer Inc.

    Possible Hazards of Proportional Hazards Models Sujit Ghosh, Department of Statistics, North Carolina State University Alvin Sheng, North Carolina State University

    Evaluation of Logrank and MaxCombo test in Immuno-Oncology Trials A Retrospective Analysis in Patients Treated with Anti-PD1/PD-L1 Agents across Solid Tumors Pralay Mukhopadhyay, Department Of Biometrics, Otsuka America Pharmaceuticals Inc. Jiabu Ye, AstraZeneca

    IS 45 Small Area Estimation: Dedicated to the memory of Professor Hukum Chandra (1972 - 2021) Zoom Link

    Dongchu Sun, Statistics, University Of Nebraska-Lincoln, Ranadeep Daw, Department of Statistics, University of Missouri, Datta Gauri, Department Of Statistics, University Of Georgia/US Census Bureau

    Chair : Sanjay Chaudhuri, National University of Singapore

    Organizer : Gauri Sankar Datta, Department of Statistics, University of Georgia/US Census Bureau

    Venue : Room 3

    Bayesian Analysis of the Covariance Matrix of a Large Dimensional Multivariate Normal Distribution with Shrinkage Inverse Wishart Priors School of Business Dongchu Sun, Statistics, University Of Nebraska-Lincoln James O. Berger, Duke University Chengyuan Song, East China Normal University

    An Accurate Coreset Methodology for Efficient Reduction of Spatial Data Ranadeep Daw, Department of Statistics, University of Missouri Christopher K Wikle, University of Missouri

    Pseudo-Bayes Small Area Estimation via Compromise Regression Weights Datta Gauri, Department Of Statistics, University Of Georgia/US Census Bureau Lee Juhyung, University Of Georgia Li Jiacheng, University Of Georgia

    IS 46 Innovative Bayesian Approach to advance Drug development Zoom Link

    Ruitao Lin, The University of Texas MD Anderson Cancer Center, Hongtao Zhang, Global Biometrics And Data Sciences, Bristol Myers Squibb, Heng Zhou, Biostatistics and Research Decision Sciences, Merck & Co., Inc

    Chair : Alex Liu, Bayer

    Organizer : Rong Liu, BMS

    Venue : Room 4

    BOIN12: Bayesian Optimal Interval Phase I/II Trial Design for Utility-Based Dose Finding in Immunotherapy and Targeted Therapies Ruitao Lin, The University of Texas MD Anderson Cancer Center

    On the Implementation of Robust Meta-Analytical-Predictive Prior Hongtao Zhang, Global Biometrics And Data Sciences, Bristol Myers Squibb Alan Y Chiang, Bristol Myers Squibb Mike Branson, UCB Pharma

    A framework of Bayesian optimal phase II (BOP2) clinical trial design Heng Zhou, Biostatistics and Research Decision Sciences, Merck & Co., Inc Ying Yuan, MD Anderson Cancer Center Linda Sun, Merck & Co., Inc Cong Chen, Merck & Co., Inc

    IS 47 Recent advances in Trend Filtering and related methods. Zoom Link

    Teng Zhang, University of Central Florida, James Sharpnack, Statistics Department, UC Davis, Oscar Hernan Madrid Padilla, Statistics, University Of California, Los Angeles, Veeranjaneyulu Sadhanala, Booth School Of Business, University Of Chicago

    Chair : Sabyasachi Chatterjee, University Of Illinois At Urbana- Champaign

    Organizer : Sabyasachi Chatterjee, University Of Illinois At Urbana- Champaign

    Venue : Room 5

    Element-wise estimation error of a total variation regularized estimator for change point detection Teng Zhang, University of Central Florida

    Public health data and trend filtering James Sharpnack, Statistics Department, UC Davis

    Quantile trend filtering Oscar Hernan Madrid Padilla, Statistics, University Of California, Los Angeles

    Trend filtering with sub-exponential noise and for exponential families Veeranjaneyulu Sadhanala, Booth School Of Business, University Of Chicago Robert Bassett, Naval Post Graudate School James Sharpnack, University Of California, Davis Dan Mcdonald, University Of British Columbia, Vancouver

    IS 48 Multivariate Modeling for Improved Detection of Genetic Variants Zoom Link

    Lin Chen, Department of Public Health Sciences, University of Chicago, Swati Biswas, Mathematical Sciences, University of Texas at Dallas, Scholtens Denise, Department of Preventive Medicine - Biostatistics,Department of Preventive Medicine - Biostatistics

    Chair : Saonli Basu, University of Minnesota

    Organizer : Saonli Basu, University of Minnesota

    Venue : Room 6

    Integrating GWAS and multi-omics QTL summary statistics to elucidate disease genetic mechanisms via a hierarchical low-rank model Lin Chen, Department of Public Health Sciences, University of Chicago Yihao Lu, University of Chicago Jin Liu, University of Chicago

    Detecting rare haplotype association with two correlated phenotypes of binary and continuous types Swati Biswas, Mathematical Sciences, University of Texas at Dallas Xiaochen Yuan, University of Texas at Dallas

    Bayesian network models for integrating genetics and metabolomics data Scholtens Denise, Department of Preventive Medicine - Biostatistics,Department of Preventive Medicine - Biostatistics

  • 16:15 - 17:30

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 49 Multiple Statistical Approaches to Address Missing Data in Drug Development Trials Zoom Link

    Vivek Pradhan, Statistics, ECD I&I, Pfizer Inc, Steven Sun, Statistical Decision Science, Janssen R&D, Madan Gopal Kundu, Daiichi Sankyo Inc

    Chair : Arnab Maity, Pfizer

    Organizer : Arnab Maity, Pfizer

    Venue : Room 1

    Fitting Proportional Odds Model with Missing Responses When the Missing Data Are Nonignorable Vivek Pradhan, Statistics, ECD I&I, Pfizer Inc

    Missing data: sensitivity analysis or supplementary analysis? Steven Sun, Statistical Decision Science, Janssen R&D

    Composite responder rate estimation under non-ignorable missingness Madan Gopal Kundu, Daiichi Sankyo Inc

    IS 50 Supersaturated and Sequential Designs Zoom Link

    Dibyen Majumdar, Math., Stat. and Comp., Sci, UIC, University of Illinois at Chicago, John Stufken, Informatics and Analytics, University of North Carolina at Greensboro, Mingyu (Max) Joo, Marketing, UC Riverside

    Chair : Gauri Datta, Department of Statistics,University of Georgia/US Census Bureau

    Organizer : Abhyuday Mandal, University of Georgia

    Venue : Room 2

    Group Orthogonal Supersaturated Designs Dibyen Majumdar, Math., Stat. and Comp., Sci, UIC, University of Illinois at Chicago

    Musings about supersaturated designs John Stufken, Informatics and Analytics, University of North Carolina at Greensboro Rakhi Singh, University of North Carolina at Greensboro

    Optimal Product Design by Sequential Experiments in High Dimensions Mingyu (Max) Joo, Marketing, UC Riverside Thompson Michael Allenby Greg M, Ohio State University

    IS 51 Methods for High Dimensional Data Zoom Link

    Sanvesh Srivastava, The University Of Iowa, Department Of Statistics And Actuarial Science, Marco Ferreira, Department Of Statistics, Virginia Tech, Mahlet Tadesse, Department of Mathematics and Statistics,Georgetown University

    Chair : Joyee Ghosh, University of Iowa

    Organizer : Joyee Ghosh, University of Iowa

    Venue : Room 3

    Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior Sanvesh Srivastava, The University Of Iowa, Department Of Statistics And Actuarial Science Rajarshi Guhaniyogi, Uc Santa Cruz Cheng Li, National University Of Singapore Terrance Savitsky, Bureau Of Labor Statistics

    Novel dynamic multiscale spatiotemporal models for multivariate Gaussian data with applications to stratospheric temperatures Marco Ferreira, Department Of Statistics, Virginia Tech Mohamed Elkhouly, Department Of Statistics, University Of Wisconsin - Madison

    Variable selection in mixture of regression models: Uncovering cluster structure and relevant features Mahlet Tadesse, Department of Mathematics and Statistics,Georgetown University

    IS 52 Bayesian Methods and Applications for Complex Data Zoom Link

    Dingzhou (Dean) Li, Drug Safety Statistics, Pfizer, Dongyan Yan, Discovery & Development Statistics, Eli Lilly and Company, Nairita Ghosal, Merck & Co

    Chair : Nairita Ghosal, Merck & Co.

    Organizer : Nairita Ghosal, Merck & Co.

    Venue : Room 4

    Nonparametric Bayesian Analysis of Genotoxicity Screening Assays Dingzhou (Dean) Li, Drug Safety Statistics, Pfizer

    Semiparametric Bayesian Markov Analysis of Personalized Benefit-Risk Assessment Dongyan Yan, Discovery & Development Statistics,Eli Lilly and Company Subharup Guha, Department of Biostatistics, University of Florida Chul Ahn, Division of Biostatistics, Center for Devices and Radiological Health, Office Surveillance and Biometrics, U.S. Food and Drug Administration Ram Tiwari, Statistical Methodology at Bristol Myers Squibb

    Clustered-Temporal Bayesian Model for Brain connectivity in Neuroimaging data Nairita Ghosal, Merck & Co Sanjib Basu, University of Illinois at Chicago

    IS 53 Statistical Methods for Contemporary Applications Zoom Link

    Trambak Banerjee, Analytics, Information And Operations Management, University Of Kansas, Wreetabrata Kar, Purdue University, Purdue University-Main Campus (West Lafayette, IN), Dave Zhao, Statistics, University of Illinois at Urbana-Champaign

    Chair : Trambak Banerjee, Analytics, Information and Operations Management, University of Kansas

    Organizer : Gourab Mukherjee, Department of Data Sciences & Operations, University of Southern California

    Venue : Room 5

    A nearest-neighbor based nonparametric test for viral remodeling in heterogeneous single-cell proteomic data Trambak Banerjee, Analytics, Information And Operations Management, University Of Kansas Bhaswar Bhattacharya, University Of Pennsylvania Gourab Mukherjee, University Of Southern California

    Applying Double Machine Learning to Targeted Email Promotions: A Journey Down the Conversion Funnel Wreetabrata Kar, Purdue University, Purdue University-Main Campus (West Lafayette, IN)

    A regression modeling approach to simultaneous estimation Dave Zhao, Statistics, University of Illinois at Urbana-Champaign

    IS 54 Topics in Network Inference Zoom Link

    David Choi, Heinz College, Carnegie Mellon University, Daniel Sussman, Mathematics and Statistics, Boston University, Tianxi Li, Department of Statistics, University of Virginia

    Chair : Debashis Mondal, Oregon State University

    Organizer : Sharmodeep Bhattacharyya, Oregon State University

    Venue : Room 6

    Randomization-only Inference in Experiments with Interference David Choi, Heinz College, Carnegie Mellon University

    Bias-Variance Tradeoffs in Joint Spectral Embeddings Daniel Sussman, Mathematics and Statistics, Boston University Benjamin Draves, Boston University

    Linear regression and its inference on noisy network-linked data Tianxi Li, Department of Statistics, University of Virginia Can M. Le, UC Davis

Day 3 Agenda : ( US Central time )

  • 08:30 - 09:30

  • Plenary Session

    Plenary Lecture 3, Xihong Lin, Harvard University Zoom Link

    Chair : Susmita Datta, University of Florida

    Venue : Room A

    Scalable Integrative Analysis of Large Genome and Phenome Data Xihong Lin, Departments of Biostatistics and Department of Statistics, Harvard University and Broad Institute

  • 09:45 - 11:15

  • Special Invited Sessions

    Special Invited Lecture 3, Roshan Joseph and Bani Kumar Mallick Zoom Link

    Roshan Joseph, School Of Industrial And Systems Engineering, Georgia Institute Of Technology, Bani Mallick, Statistics,Texas A&M

    Chair : Sujit Ghosh, Department of Statistics, North Carolina State University

    Venue : Room B

    Data Splitting Roshan Joseph, School Of Industrial And Systems Engineering, Georgia Institute Of Technology Akhil Vakayil, Georgia Institute Of Technology

    Bayesian local models using partitions Bani Mallick, Statistics,Texas A&M

    Special Invited Lecture 4, Frank Bretz and Aloka Chakravarty Zoom Link

    Frank Bretz, Statistical Methodology, Novartis Pharma Ag, Aloka Chakravarty, Immediate Office Of The Commissioner, FDA, US Food And Drug Administration

    Chair : Shanti Sethuraman, Eli Lilly and Company

    Venue : Room C

    Equivalence of regression curves Frank Bretz, Statistical Methodology, Novartis Pharma Ag Kathirn Moellenhoff, Eindhoven University Of Technology Holger Dette, University Of Bochum

    Generating Actionable Insights from Real World Data during COVID-19 Pandemic Aloka Chakravarty, Immediate Office Of The Commissioner, FDA, US Food And Drug Administration

  • 11:30 - 12:45

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 55 Biomarker Characterization and Development for Patient Enrichment in Oncology Clinical Trial Zoom Link

    Jiabu Ye, Oncology Biometrics AstraZeneca, Richard Chappell, U Wisconsin Dept. Of Biostatistics And Medical Informatics, University Of Wisconsin, Feng Liu, Oncology Biometrics,AstraZeneca

    Chair : Pralay Mukhopadhyay, Department of Biometrics, Otsuka America Pharmaceuticals Inc.

    Organizer : Feng Liu, Oncology Biometrics, AstraZeneca

    Venue : Room 1

    Statistical Considerations in Biomarker Cutoff Determination, Development and Validation in Immuno-Oncology Studies Jiabu Ye, Oncology Biometrics AstraZeneca Feng Liu, Oncology Biometrics AstraZeneca

    Blocked adaptive randomization: how to do RAR if you really must. Richard Chappell, U Wisconsin Dept. Of Biostatistics And Medical Informatics, University Of Wisconsin Thevaasinen Chandereng, Columbia University

    Design and Challenges in Platform Design in the Immuno-Oncology Drug Development with application in NSCLC Feng Liu, Oncology Biometrics,AstraZeneca

    IS 56 Radomization and More Zoom Link

    David Puelz, Booth School of Business, University of Chicago, Jeevan Jankar, Department of Statistics, University of Georgia, Athens, Xinran Li, Department of Statistics, University of Illinois at Urbana-Champaign

    Chair : Jie Yang, Department of Mathematics, Statistics, and Computer Science,University of Illinois at Chicago

    Organizer : Abhyuday Mandal, University of Georgia

    Venue : Room 2

    Randomization tests of causal effects under general interference David Puelz, Booth School of Business,University of Chicago

    Optimal Crossover Designs for Generalized Linear Models Jeevan Jankar, Department of Statistics, University of Georgia, Athens Abhyuday Mandal, University of Georgia, Athens Jie Yang, University of Illinois, Chicago

    Rerandomization and Regression Adjustment Xinran Li, Department of Statistics, University of Illinois at Urbana-Champaign Peng Ding, University of California, Berkeley

    IS 57 Subsampling Methods in the Era of Big Data Zoom Link

    Simon Mak, Statistical Science,Duke University, HaiYing Wang, Statistics, University of Connecticut, Lin Wang, Department of Statistics, George Washington University

    Chair : John Stufken, Informatics and Analytics,University of North Carolina at Greensboro

    Organizer : Sujit Ghosh, Department of Statistics, North Carolina State University

    Venue : Room 3

    Supervised compression of data Simon Mak, Statistical Science,Duke University V. Roshan Joseph, Georgia Institute of Technology

    Sampling for Massive Data with Rare Events HaiYing Wang, Statistics, University of Connecticut

    Generalized orthogonal subsampling for predictive stability Lin Wang, Department of Statistics,George Washington University Yi Zhang, George Washington University

    IS 58 Contemporary Bayesian Modeling with Applications Zoom Link

    Peter Mueller, Statistics & Data SC, UT Austin, Purushottam Laud, Medical College Of Wisconsin, Siva Sivaganesan, Division Of Statistics And Data Science, Department Of Mathemtical Sciences, University Of Cincinnati

    Chair : Aritra Halder

    Organizer : Dipak Dey, Deapartment of Statistics,University of Connecticut

    Venue : Room 4

    Dependent Mixtures: Modeling Cell Lineage Peter Mueller, Statistics & Data SC, UT Austin Carlos Pagani Zanini, UFRJ Giorgio Paulon, UT Austin

    Some recent models using binary tree ensembles for various outcome types Purushottam Laud, Medical College Of Wisconsin Robert Mcculloch, Arizona State University Rodney Sparapani, Medical College Of Wisconsin Brent Logan, Medical College Of Wisconsin

    An Objective Bayesian Multiple Testing of Binomial Proportions Siva Sivaganesan, Division Of Statistics And Data Science, Department Of Mathemtical Sciences, University Of Cincinnati Emrah Gecili, Cincinnati Children’s Hospital Nilupika Herath, University Of Cincinnati

    IS 59 Advances in Random Forests and Decision Tree Ensembles Zoom Link

    Lucas Mentch, Department of Statistics, University of Pittsburgh, Giles Hooker, Statistics and Data Science, Cornel University, Jason Klusowski, Operations Research And Financial Engineering, Princeton University

    Chair : Sumanta Basu, Cornell University

    Organizer : Sumanta Basu, Cornell University

    Venue : Room 5

    Random Forests: Why They Work and Why That’s a Problem Lucas Mentch, Department of Statistics, University of Pittsburgh Siyu Zhou, University of Pittsburgh

    Improved uncertainty quantification for random forests and other ensembles Giles Hooker, Statistics and Data Science, Cornel University Zhengze Zhou, Cornell University Indrayudh Ghosal, Cornell University

    Nonparametric Variable Screening with Decision Stumps Jason Klusowski, Operations Research And Financial Engineering, Princeton University Peter M. Tian, Princeton University

    IS 60 Advances in Analysis of Intensive Longitudinal Data Zoom Link

    Whitney Welch, Department Of Preventive Medicine, Northwestern University Feinberg School Of Medicine, Qianheng Ma, Department of Public Health Sciences, University of Chicago, John Cursio, Public Health Sciences, University of Chicago

    Chair : Donald Hedeker, University of Chicago

    Organizer : Donald Hedeker, University of Chicago

    Venue : Room 6

    Mixed-effects location scale modeling for the analysis of accelerometry data Whitney Welch, Department Of Preventive Medicine, Northwestern University Feinberg School Of Medicine Donald Hedeker, University Of Chicago Bonnie Spring, Northwestern University Feinberg School Of Medicine Juned Siddique, Northwestern University Feinberg School Of Medicine

    A Negative Binomial Mixed Effects Location-Scale Model for Physical Activity Data Provided by Wearable Devices Qianheng Ma, Department of Public Health Sciences, University of Chicago Genevieve F. Dunton, University of Southern California Donald Hedeker, University of Chicago

    Latent Trait Shared Parameter Mixed Models for Missing Ordinal Ecological Momentary Assessment Data John Cursio, Public Health Sciences, University of Chicago

  • 13:00 - 14:15

  • Parallel Scientific Sessions

    Invited Sessions (IS)

    IS 61 Novel Methods for Oncology Drug Development Zoom Link

    Cynthia Basu, Early Clinical Development, Pfizer Inc., Arunava Chakravartty, Biostatistics/novartis, Novartis, Larry Leon, Biostatistics, Bristol-Myers Squibb

    Chair : Arnab Maity, Pfizer

    Organizer : Arnab Maity, Pfizer

    Venue : Room 1

    Bayesian Approach for Single-Arm Trials Incorporating Historical Information Cynthia Basu, Early Clinical Development, Pfizer Inc. Arnab K. Maity, Pfizer Inc Lada A. Markovtsova, Pfizer Inc. Satrajit Roychoudhury, Pfizer Inc.

    Model based methods to assess the impact of missing data on Oncology endpoints Arunava Chakravartty, Biostatistics/novartis, Novartis Craig Wang, Novartis

    On weighted log-rank combination tests and companion Cox model estimators Larry Leon, Biostatistics, Bristol-Myers Squibb Ray Lin, Genentech Keaven Anderson, Merck

    IS 62 Efficient Designs Zoom Link

    Rakhi Singh, Informatics and Analytics, University of North Carolina at Greensboro, Satya Singh, Mathematics, Indian Institute of Technology Hyderabad, Wei Zheng, Business Analytics and Statistics,university of tennessee

    Chair : John Stufken

    Organizer : Abhyuday Mandal, University Of Georgia

    Venue : Room 2

    Selection of 2-level supersaturated designs for main effects models Rakhi Singh, Informatics and Analytics, University of North Carolina at Greensboro John Stufken, University of North Carolina at Greensboro

    Min–Max Crossover Designs for Two Treatments Binary and Poisson Crossover Trials Satya Singh, Mathematics, Indian Institute of Technology Hyderabad Mukhopadhyay Siuli, Indian Institute of Technology of Bombay Raj Harsh, Indian Institute of Technology of Hyderabad

    Fast Approximation of Shapley Values Wei Zheng, Business Analytics and Statistics,university of tennessee liuqing Yang, Nankai University Yongdao Zhou, Nankai University Haoda Fu, Eli Lilly and Company Minqian Liu, Nankai University

    IS 63 Modeling and Analysis of High Dimensional Graphs, Networks, and Tensors Zoom Link

    Yuan Zhang, Statistics,The Ohio State University, Anru Zhang, Statistics,University of Wisconsin-Madison / Duke University, Feng Liang, Statistics Department, UIUC,University of Illinois at Urbana-Champaign

    Chair : Naveen Naidu Narisetty, University Of Illinois Urbana-Champaign

    Organizer : Naveen Naidu Narisetty, University Of Illinois Urbana-Champaign

    Venue : Room 3

    Edgeworth expansion for network moments Yuan Zhang, Statistics,The Ohio State University Dong Xia, Hong Kong University of Science and Technology

    An Optimal Statistical and Computational Framework for Generalized Tensor Estimation Anru Zhang, Statistics,University of Wisconsin-Madison / Duke University

    Bayesian Regularization and Estimation for Gaussian Conditional Random Fields Feng Liang, Statistics Department, UIUC,University of Illinois at Urbana-Champaign Lingrui Gan, Facebook Naveen N Narisetty, University Of Illinois Urbana-Champaign

    IS 64 Advances in High-Dimensional Bayesian Methodology Zoom Link

    Anirban Bhattacharya, Statistics, Texas A&M University, Debdeep Pati, Statistics, Texas A&M University, Kshitij Khare, Department of Statistics, University of Florida

    Chair : Khare Kshitij

    Organizer : Kshitij Khare, University Of Florida

    Venue : Room 4

    Dynamics of mean-field approximation: a case-study in singular models Anirban Bhattacharya, Statistics, Texas A&M University Debdeep Pati, Texas A&M University Yun Yang, University Of Illinois At Urbana-champaign Sean Plummer, Texas A&M University

    Statistical optimality and stability of tangent transform algorithms Debdeep Pati, Statistics, Texas A&M University Anirban Bhattacharya, Texas A&M University Indrajit Ghosh, Texas A&M University

    Lag selection and estimation in mixed frequency regression using Bayesian nested lasso Kshitij Khare, Department of Statistics, University of Florida Satyajit Ghosh, FDA George Michailidis, University Of Florida

    IS 65 Statistical methods for genetic prediction of disease using ’omics data Zoom Link

    Brandon Coombes, Department of Quantitative Health Sciences, Mayo Clinic, Chong Wu, Department Of Statistics, Florida State University

    Chair : Coombes Brandon

    Organizer : Brandon Coombes, Mayo Clinic

    Venue : Room 5

    Application of polygenic risk scores to diverse populations Brandon Coombes, Department of Quantitative Health Sciences, Mayo Clinic Anthony Batzer, Mayo Clinic Gregory Jenkins, Mayo Clinic Euijung Ryu, Mayo Clinic

    Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation: a multi-phased study of prostate cancer Chong Wu, Department Of Statistics, Florida State University Jingjing Zhu, Cancer Epidemiology Division, Population Sciences In The Pacific Program, University Of Hawaii Cancer Center, University Of Hawaii At Manoa, Honolulu, HI, USA Austin King, Department Of Statistics, Florida State University Xiaoran Tong, Department Of Epidemiology And Biostatistics, Michigan State University, East Lansing, MI, USA Qing Lu, Jong Y Park, Liang Wang, Guimin Gao, Hong-wen Deng, Yaohua Yang, Karen E Knudsen, Timothy R Rebbeck, Jirong Long, Wei Zheng, Wei Pan, David V Conti, Christopher A Haiman, Lang Wu

    Discussant: Brandon Coombes, Department of Quantitative Health Sciences, Mayo Clinic

    IS 66 Modern computational methods for spatial data Zoom Link

    Somak Dutta, Statistics, Iowa State University, Zhou Lan, Yale School of Medicine, Indranil Sahoo, Statistical Sciences & Operations Research,Virginia Commonwealth University

    Chair : Datta Abhirup

    Organizer : Abhirup Datta, Johns Hopkins University

    Venue : Room 6

    A matrix-free profile likelihood method for high-dimensional factor model Somak Dutta, Statistics, Iowa State University Fan Dai, Michigan Technological University Ranjan Maitra, Iowa State University

    A Joint Spatial Conditional Auto-Regressive Model for Estimating HIV Prevalence Rates Among Key Populations Zhou Lan, Yale School of Medicine Le Bao, Penn State University

    Test for Isotropy on a Sphere using Spherical Harmonic Coefficients Indranil Sahoo, Statistical Sciences & Operations Research,Virginia Commonwealth University Joseph Guinness, Cornell University Brian J. Reich, North Carolina State University

Day 4 Agenda : ( US Central time )

  • 10:00 - 10:30

  • In Memorium: Professor Hukum Chandra (1972 - 2021)

    A registration, separate from the IISA 2021 is required. The registration is free. Please register here.
    The system will send the necessary links to the e-mail address used for registration.
    Venue : Room GB
  • 10:30 - 10:40

  • Break

  • 10:40 - 12:00

  • Meeting 1 IISA General Body Meeting

    IISA General Body Meeting
    The room could be accessed from the same link as above.
    Venue : Room GB

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