Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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Activity Details

2 !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
When Causal Inference Meets Reinforcement Learning: The Story of Mobile-Delivered Interventions — Invited Papers
IMS, ENAR, Biometrics Section
Organizer(s): Min Qian, Columbia University
Chair(s): Chengchun Shi, LSE
1:35 PM	Assessing Time-Varying Causal Effects in the Presence of Cluster-Level Treatment Effect Heterogeneity Jieru Hera Shi, University of Michigan, Ann Arbor; Zhenke Wu, University of Michigan, Ann Arbor; Walter Dempsey, University of Michigan
2:00 PM	Policy Evaluation Under Interference Stefan Wager, Stanford University
2:25 PM	We Used RL, but … Did It Work?! Peng Liao, Harvard University; Susan Murphy, Harvard University; Predrag Klasnja, University of Michigan
2:50 PM	Discussant: Michael Kosorok, University of North Carolina at Chapel Hill
3:10 PM	Floor Discussion

5 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Novel Methods for Microbiome Data Analysis — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Shulei Wang, University of Illinois at Urbana-Champaign
Chair(s): Shulei Wang, University of Illinois at Urbana-Champaign
1:35 PM	Deep Learning to Predict the Biosynthetic Gene Clusters in Bacterial Genomes Hongzhe Li, University of Pennsylvania
2:00 PM	Kernel Methods for Identifying of Genetic Variants Associated with Microbiome Composition Michael C Wu, Fred Hutchinson Cancer Research Center
2:25 PM	Model-Based Approaches to Dimension Reduction, Unconstrained Ordination, and Composition Estimation for Microbiome Data Tao Wang, Shanghai Jiao Tong University
2:50 PM	Correcting Measurement Error in High-Throughput Sequencing Data David Clausen, University of Washington
3:15 PM	Floor Discussion

13 *	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Advances in Longitudinal Methods in Research on Aging and Dementia from the MEthods for LOngitudinal Studies of DEMentia (MELODEM) Initiative — Invited Papers
Biometrics Section, Lifetime Data Science Section, ENAR
Organizer(s): Michelle Shardell, University of Maryland School of Medicine
Chair(s): Michelle Shardell, University of Maryland School of Medicine
1:35 PM	Prediction of Dementia Types Using Machine Learning Methods Chung-Chou H. Chang, University of Pittsburgh; Yueting Wang, University of Pittsburgh; Yichen Jia, University of Pittsburgh; Mary Ganguli, University of Pittsburgh
1:55 PM	Causal Mediation Analysis of the Timing of Risk Factors for Incident Cognitive Impairment Nicole Armstrong, Alpert Medical School of Brown University
2:15 PM	Joint Modeling of the Temporal Relationships Between Multivariate Longitudinal Markers of Alzheimer’s Disease Progression and Clinical Endpoints Anaïs Rouanet, Inserm U1219 - Bordeaux Population Health research center; Cécile Proust-Lima, University of Bordeaux
2:35 PM	Estimating Heterogenous Effects of Education on Dementia Using Bayesian Trees Jordan Weiss, University of California, Berkeley; Sameer Deshpande, Massachusetts Institute of Technology - CSAIL
2:55 PM	Using Hidden Markov Models to Track Cognitive Decline Presentation Terry Michael Therneau, Mayo Clinic
3:20 PM	Discussant: Cécile Proust-Lima, University of Bordeaux
3:15 PM	Floor Discussion

15 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Emerging Statistical Challenges and Opportunities in Mental Health Research — Invited Panel
Mental Health Statistics Section, Biometrics Section, ENAR, Caucus for Women in Statistics
Organizer(s): Adam Ciarleglio, George Washington University
Chair(s): Adam Ciarleglio, George Washington University
1:35 PM	Emerging Statistical Challenges and Opportunities in Mental Health Research
Panelists:	Melanie Wall, Columbia University Eva Petkova, New York University School of Medicine Garrett Fitzmaurice, Harvard University Susan Shortreed, Kaiser Permanente Washington Health Research Institute
3:15 PM	Floor Discussion

17 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Innovative Statistical Strategies and Designs in Oncology Drug Development — Topic-Contributed Papers
Biopharmaceutical Section, Biometrics Section, International Chinese Statistical Association
Organizer(s): Olga Marchenko, Bayer
Chair(s): Qi Jiang, Seagen
1:35 PM	Opportunities and Challenges of Master Protocol Trials: ASA Oncology Working Group Master Protocol Subteam Update Xiaoyun (Nicole) Li, Merck & Co.; Chengxing (Cindy) Lu, Biogen
1:55 PM	Application of Historical Data in Oncology Combination Therapy Development Rong Liu, Bristol Myers Squibb
2:15 PM	Statistical and Operational Considerations for 2-Stage Adaptive Designs with Simultaneous Evaluation of Overall and Marker Selected Populations in Oncology Confirmatory Trials Presentation Sunhee Ro, Sierra Oncology
2:35 PM	Discussant: Xin Cindy Gao, FDA
2:55 PM	Floor Discussion

24 !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Recent Advances in Causal Analyses That Tell the Story of Complex Mediation Mechanisms — Topic-Contributed Papers
Biometrics Section, Section on Statistics in Epidemiology, Social Statistics Section
Organizer(s): Xu Qin, University of Pittsburgh
Chair(s): Xu Qin, University of Pittsburgh
1:35 PM	Some Applications of Causal Mediation Analysis and Discrepancies with Traditional Mediation Analysis David Peter MacKinnon, Arizona State University; Matthew Valente, Florida International University; Diana Alvarez Bartolo, Arizona State University
1:55 PM	Causal Mediation Analysis for Sparse and Irregular Longitudinal Data Presentation Fan Li, Duke University; Shuxi Zeng, Duke University
2:15 PM	Post-Treatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis Guanglei Hong, University of Chicago; Fan Yang, University of Colorado Denver; Xu Qin, University of Pittsburgh
2:35 PM	Heterogeneous Indirect Effects for Multiple Mediators Using Interventional Effect Models Presentation Wen Wei Loh, Ghent University; Beatrijs Moerkerke, Ghent University; Tom Loeys, Ghent University; Stijn Vansteelandt, Ghent University
2:55 PM	A causal approach to functional mediation analysis with application to a smoking cessation intervention Donna L. Coffman, Temple University; John J. Dziak, Pennsylvania State University; Yajnaseni Chakraborti, Temple University; Megan E. Piper, University of Wisconsin - Madison
3:15 PM	Floor Discussion

35 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Stories from COVID-19 Vaccine Development: Statistical Challenges and Opportunities — Invited Papers
Biopharmaceutical Section, Biometrics Section, Committee on Applied Statisticians
Organizer(s): Charlotte Baidoo, GlaxoSmithKline plc; Wenji Pu, GlaxoSmithKline plc
Chair(s): Fabian Tibaldi, GlaxoSmithKline plc
3:35 PM	COVID-19: Modeling, Epidemiological, Clinical, and Vaccine Aspects Presentation Geert Molenberghs, Universiteit Hasselt and KU Leuven
4:00 PM	Statistical Observations on Vaccine Clinical Development for Pandemic Diseases Scott Patterson, Sanofi Pasteur; Bo Fu, Sanofi Pasteur; Fabrice Bailleux, Sanofi Pasteur; Josh Chen, Sanofi Pasteur
4:25 PM	Statistical Challenges in COVID-19 Vaccine Trials Ye Yang, FDA/CBER
4:50 PM	Discussant: Tsai-Lien Lin, CBER, FDA
5:10 PM	Floor Discussion

48 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Academics Industry Perspectives on Cancer Data Innovations: Simultaneous Inference, Inconsistency, and Clinical Response — Topic-Contributed Papers
Biometrics Section, International Indian Statistical Association, Section on Statistics in Genomics and Genetics
Organizer(s): Arnab Kumar Maity, Pfizer
Chair(s): Arnab Kumar Maity, Pfizer
3:35 PM	Estimating Clinical Response Rate in Biomarker-Guided Oncology Studies Using Preclinical Data Shibing Deng, Pfizer, Inc; Feng Liu, Pfizer, Inc; Jadwiga Bienkowska, Pfizer. Inc
3:55 PM	Cure Models with Adaptive Activation for Modeling Cancer Survival Sanjib Basu, University of Illinois Chicago
4:15 PM	Bayesian Nonlinear EM Based Approach for Analysis of Multi-Platform Genomics Data sounak chakraborty, University of Missouri-Columbia
4:35 PM	An Approximate Bayes Factor-Based MANOVA Test Using Random Projection with Application in Cancer Genomics Roger Zoh, Indiana University
4:55 PM	Inconsistency of Model Specifications in Generalized Linear Models Changyong Feng, University of Rochester; Hongyue Wang, University of Rochester; Laurent Glance, University of Rochester; Xin Tu, University of California, San Diego
5:15 PM	Floor Discussion

53	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
New Developments in Survival Analysis — Contributed Speed
Biometrics Section, Caucus for Women in Statistics
Chair(s): Aaron Hudson, University of Washington
3:35 PM	Model Comparisons of Simulation on Recurrent Events with Time-Varying Covariates in Survival Analysis Chenshuang Lu , Bayer Pharmaceuticals ; Yoriko De Sanctis, Bayer Pharmaceuticals
3:40 PM	Model Checks for Two-Sample Location-Scale Atefeh Javidialsaadi, New Jersey Institute of technology; Shoubhik Mondal, Boehringer Ingelheim; Sundarraman Subramanian, New Jersey Institute of Technology
3:45 PM	Landmark Approach to Improve Prediction Accuracy of Long-Term Survival by Incorporating Time Information from Multiple Short-Term Events Resmi Gupta, University of Texas Health Science Center at Houston; Jing Ning, The University of Texas MD Anderson Cancer Center; Jing Jing Zhang , University of Texas Health Science Center at Houston; Wen Li, University of Texas Health Science Center at Houston; Sean I Savitz , University of Texas Health Science Center at Houston; Liang Zhu, University of Texas Health Science Center at Houston; Sori Kim, University of Texas Health Science Center at Houston; Amirali Tahanan, University of Texas Health Science Center at Houston; Mohammad Hossein Rahbar, University of Texas Health Science Center at Houston
3:50 PM	Regression Analysis of Multivariate Recurrent Event Data with a Time-Varying Dependence Structure Wen Li, University of Texas Health Science Center at Houston; Mohammad Hossein Rahbar, University of Texas Health Science Center at Houston; Sean I Savitz , University of Texas Health Science Center at Houston; Liang Zhu, University of Texas Health Science Center at Houston; Resmi Gupta, University of Texas Health Science Center at Houston; Jing Jing Zhang , University of Texas Health Science Center at Houston; Sori Kim, University of Texas Health Science Center at Houston; Amirali Tahanan, University of Texas Health Science Center at Houston; Jing Ning, The University of Texas MD Anderson Cancer Center
3:55 PM	A Maximum Weighted Logrank Test in Detecting Crossing Hazards Huan Cheng, University of Kansas Medical Center; Jianghua He, University of Kansas Medical Center
4:00 PM	Approximate Maximum Likelihood Estimation of the Mixture Cure Model from Aggregated Data John D Rice, Colorado School of Public Health
4:05 PM	Mixture and Non-Mixture Cure Models for Right-Censored Data with Modified Gompertz Distribution Durga H Kutal, UW-Whitewater; Khyam N Paneru, The University of Tampa
4:10 PM	CauchyCP: A Powerful Test Under Nonproportional Hazards Using Cauchy Combination of Change-Point Cox Regressions Hong Zhang, Merck & Co., Inc.; qing li, Merck & co., Inc.; Devan V Mehrotra, Merck & Co., Inc.; Judong Shen, Merck & Co. Inc.
4:20 PM	A Simulation Study Approach to Assess the Accuracy of the Weibull Shape Parameter Based on Historical Studies for Time-to-Event Outcomes Palash Sharma, University of Kansas Medical Center; Prabhakar Chalise, University of Kansas Medical Center; Nadeesha Thewarapperuma, University of Kansas Medical Center; Milind A. Phadnis, University of Kansas Medical Center
4:30 PM	Semiparametric Marginal Regression for Clustered Competing Risks Data with Missing Cause of Failure Wenxian Zhou, Indiana University; Giorgos Bakoyannis, Indiana University; Ying Zhang, University of Nebraska Medical Center; Constantin Yiannoutsos, Indiana University
4:35 PM	A Joint Frailty Model for Recurrent and Multiple Competing Terminal Events: Application to Delirium in the ICU Lacey H Etzkorn, Johns Hopkins, Bloomberg School of Public Health; Elizabeth Colantuoni, Johns Hopkins Bloomberg School of Public Health; Mei-Cheng Wang, Johns Hopkins Bloomberg School of Public Health; Virginie Rondeau, University of Bordeaux, Bordeaux, France
4:40 PM	Penalized Weighted Proportional Hazards Model for Robust Survival Data Analysis Bin Luo, Duke University; Xiaoli Gao, The University of North Carolina at Greensboro; Susan Halabi, Duke University
4:45 PM	Discrete Frailty Modeling with Selection of Correlated Variables via Elastic Net: Application to Assessing Mixtures of Chemical Toxicants and Human Fecundity Abhisek Saha, NICHD, NIH
4:50 PM	Multivariate Survival Analysis in Big Data: A Divide-and-Combine Approach Presentation Wei Wang, Merck
4:55 PM	Correcting Bias Caused by Unequal Efficacy Assessment Intervals Between Treatment Groups Qian Li, Bristol Myers Squibb; Daniel Li, Bristol-Myers Squibb; Zhihong Yang, Bristol Myers Squibb; Yizhou Fei, Bristol Myers Squibb
5:00 PM	Evaluating Oncology Trial Eligibility Criteria Using Real-World Data and AI Ruishan Liu, Stanford University
5:05 PM	Nonparametric Copula Estimation for the Validation of Surrogate Endpoints Akash Roy, Duke University; Susan Halabi, Duke University
5:10 PM	A Simple Yet Powerful Method to Correct Misinterpretation of Clinical Trial Results with Long-Term Survival Chih-Yuan Hsu, Department of Biostatistics, Vanderbilt University Medical Center; Emily Pei-Ying Lin, Department of Biostatistics, Vanderbilt University Medical Center; Yu Shyr, Department of Biostatistics, Vanderbilt University Medical Center
5:15 PM	Modeling Percentile-Varying Effects Under the Accelerated Failure Time Structure Harrison Reeder, Harvard TH Chan School of Public Health; Sebastien Haneuse, Harvard TH Chan School of Public Health

62 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Large Population Physical Activity Studies Using Wearable Devices: Challenges and Future Directions — Invited Papers
Section on Statistics in Epidemiology, ENAR, Biometrics Section
Organizer(s): Ekaterina Smirnova, Virginia Commonwealth University
Chair(s): Ekaterina Smirnova, Virginia Commonwealth University
10:05 AM	Unraveling the Relationship Between Physical Activity and Health Using Wearable Sensors Charles Matthews, National Cancer Institute Shady Grove
10:25 AM	Fast Univariate Inference for Longitudinal Functional Models Erjia Cui, Johns Hopkins Bloomberg School of Public Health; Andrew Leroux, University of Colorado Anschutz Medical Campus; Ciprian Crainiceanu, Johns Hopkins University; Ekaterina Smirnova, Virginia Commonwealth University
10:45 AM	The Digital Biomarker Discovery Project: An Open Source Toolbox Biosignal Analysis Jessilyn Dunn, Duke University; Brinnae P Bent, Duke University; Emilia Grzesiak, Duke University; Chentian Jiang, Duke University; Yuankai P Qi, Duke University; Yihang P Jiang, Duke University; Peter P Cho, Duke University
11:05 AM	Genome-Wide Association Studies of 27 Accelerometry-Derived Physical Activity Measurements Identifies 6 Novel Loci and Links with Blood and Immune Mechanisms Guanghao Qi, Johns Hopkins University; Diptavo Dutta, Johns Hopkins University; Andrew Leroux, University of Colorado Anschutz Medical Campus; Debashree Ray, Johns Hopkins University; Ciprian Crainiceanu, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
11:25 AM	New Methodology for Characterizing Circadian Rhythm in Actigraphy Data Collected from a Wearable Device Sungduk Kim, National Cancer Institute; Paul S. Albert, National Cancer Institute
11:45 AM	Floor Discussion

64 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Innovative Practical Improvements in Biomarker Development and Evaluation — Invited Papers
Section on Medical Devices and Diagnostics, Biometrics Section, Biopharmaceutical Section, Caucus for Women in Statistics
Organizer(s): Laura Yee, National Cancer Institute, National Institutes of Health
Chair(s): Hari Sankaran, National Cancer Institute, National Institutes of Health
10:05 AM	Emulating a Target Trial to Evaluate the Clinical Utility of a Biomarker-Based Treatment Rule Michael Charles Sachs, Karolinska Institutet
10:25 AM	Two-Stage Adaptive Design for Prognostic Biomarker Signatures with a Survival Endpoint Mei-Yin C Polley, University of Chicago; Biyue Dai, University of Iowa
10:45 AM	Biologically Informed Development of Treatment Selection Scores from High-Dimensional Omics Data Lisa McShane, National Cancer Institute
11:05 AM	Sample Size Methods for Validation of Predictive Biomarkers Kevin K Dobbin, University of Georgia; Lisa McShane, National Cancer Institute
11:25 AM	Discussant: Ana Best, National Cancer Institute, National Institutes of Health
11:45 AM	Floor Discussion

70 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Statistical Advances for Multi-Omics Data of Complex Diseases — Invited Papers
Section on Statistics in Genomics and Genetics, ENAR, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Jiebiao Wang, University of Pittsburgh
Chair(s): Jiebiao Wang, University of Pittsburgh
10:05 AM	SpotClean adjusts for spot swapping in spatial transcriptomics data Christina Kendziorski, UW-Madison; Zijian Ni, UW-Madison; Jared Brown, UW-Madison; Chitrasen Mohanty, UW-Madison
10:30 AM	Multi-Omics Analysis of Psychosis in Alzheimer’s Disease Ying Ding, University of Pittsburgh
10:55 AM	Integrating GWAS and multi-omics QTL summary statistics to elucidate disease genetic mechanisms via a hierarchical low-rank model Lin Chen, University of Chicago; Yihao Lu, University of Chicago
11:20 AM	Integrative Single Cell Analysis of DNA Alterations and Chromatin Accessibility in Cancer Chi-Yun Wu, University of Pennsylvania; Nancy Zhang, The University of Pennsylvania; Hanlee Ji, Stanford University
11:45 AM	Floor Discussion

77 !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Causal Inference When Resources Are Limited — Topic-Contributed Papers
Biometrics Section, Section on Statistics in Epidemiology, JASA Theory and Methods
Organizer(s): Mats J Stensrud, École polytechnique fédérale de Lausanne
Chair(s): Mats J Stensrud, École polytechnique fédérale de Lausanne
10:05 AM	Noise-Induced Randomization in Regression Discontinuity Designs Dean Eckles, Massachusetts Institute of Technology; Han Wu, Stanford; Stefan Wager, Stanford University; Nikolaos Ignatiadis, Stanford
10:25 AM	Optimal Individualized Decision Rules Using Instrumental Variable Methods Presentation Hongxiang Qiu, Department of Biostatistics, University of Washington
10:45 AM	Causal Inference for Organ Transplantation: Challenges in Studying a Finite Resource and an Application in Lung Transplantation Ruth Keogh, London School of Hygiene and Tropical Medicine
11:05 AM	Nonparametric Identification and Estimation of Potential Outcomes Under Time-Varying Allocation of Binary Treatments Aaron Sarvet, Harvard University
11:25 AM	Discussant: James M Robins, Harvard T. H. Chan School of Public Health
11:45 AM	Floor Discussion

78 *	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Key Steps in Deriving Real-World Evidence from Analysis of Real-World Data — Topic-Contributed Papers
Biopharmaceutical Section, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Yixin Fang, AbbVie
Chair(s): Weili He, AbbVie
10:05 AM	Estimands: From Concepts to Applications in Real-World Setting (RWS) Jie Chen, On behalf of ASA Biop RWE SWG Estimand Team
10:25 AM	Principles and Approaches for the Use and Evaluation of Fit-for-Purpose, Real-World Data Sources Mark Levenson, FDA; Weili He, AbbVie
10:45 AM	Examples of Applying Causal-Inference Roadmap to RWE Clinical Studies Presentation Martin Ho, Google; Yixin Fang, AbbVie
11:05 AM	From Sensitivity Analysis to Evidence-Value: Ways to Interpret Real-World Evidence Yixin Fang, AbbVie ; Weili He, AbbVie
11:25 AM	Discussant: Hana Lee, FDA
11:45 AM	Floor Discussion

80 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Sufficient Dimension Reduction and Applications — Topic-Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistical Computing, Biometrics Section
Organizer(s): Ruth Pfeiffer, NCI-DCEG
Chair(s): Bin Zhu, National Cancer Institute
10:05 AM	Real-Time Sufficient Dimension Reduction Through Principal Least-Squares Support-Vector Machines Yuexiao Dong, Temple University; Andreas Artemiou, Cardiff University; Seung Jun Shin, Korea University
10:25 AM	Dimension Reduction for Multimodal Data Integration Xin Zhang, Florida State University
10:45 AM	Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors Efstathia Bura, TU Wien; Daniel Kapla, TU Wien; Ruth Pfeiffer, NCI-DCEG
11:05 AM	PLS Regression Algorithms in the Presence of Nonlinearity Liliana Forzani, Universidad Nacional del Litoral; Dennis Cook, University of Minnesota
11:25 AM	Floor Discussion

87	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Survival and Longitudinal/Clustered Data Analysis — Contributed Speed
Biometrics Section
Chair(s): Ruishan Liu, Stanford University
10:05 AM	Overall AUC for Survival Models Wenna Xi, Weill Cornell Medicine; Yiyuan Wu, Weill Cornell Medicine; Hongzhe Zhang, Weill Medical College, Cornell University; Samprit Banerjee, Weill Medical College of Cornell University
10:10 AM	Effect of Measurement Error in Event Times on the Association Between Recurrent and Terminal Events Using Joint Frailty Model Framework Shahidul Islam, NYU Long Island School of Medicine; Meredith Akerman, NYU Long Island School of Medicine; Chinyere J Okpara, NYU Langone Health Long Island; Jasmin Divers, NYU Long Island School of Medicine
10:15 AM	Inference for Set-Based Effects in Genetic Association Studies with Interval-Censored Outcomes Ryan Sun, University of Texas MD Anderson Cancer Center ; Liang Zhu, University of Texas Health Science Center at Houston; Yimei Li, St. Jude Children's Research Hospital; Yutaka Yasui, St. Jude Children’s Research Hospital; Leslie Robison, St. Jude Children’s Research Hospital
10:20 AM	A Novel Algorithm for Analysis of Multiple Endpoints Using Risk-Benefit Profiles Presentation Natalia A Gouskova, Hebrew SeniorLife; Dae Hyun Kim, Hebrew SeniorLife, Harvard Medical School, Beth Israel Deaconess Medical Center; Sandra Shi, Hebrew SeniorLife, Harvard Medical School, Beth Israel Deaconess Medical Center; Thomas Travison, Hebrew SeniorLife, Harvard Medical School, Beth Israel Deaconess Medical Center
10:25 AM	Risk Factors for Graft Failure: Analyzing National Kidney Transplant Data with Debiased Lasso via Quadratic Programming for Stratified Cox Models Lu Xia, University of Washington, Seattle; Bin Nan, University of California Irvine; Yi Li, University of Michigan
10:30 AM	Partly Interval-Censored Rank Regressions Sangbum Choi, Department of Statistics, Korea University; Taehwa Choi, Department of Statistics, Korea University; Zhezhen Jin, Columbia University
10:35 AM	Semiparametric Analysis of Clustered Interval-Censored Survival Data Using Soft Bayesian Additive Regression Trees (SBART) Piyali Basak, Merck & Co., Inc; Antonio R Linero, University of Texas at Austin; Debajyoti Sinha, Florida State University; Stuart Lipsitz, Brigham and Women's Hospital
10:40 AM	Origins and Consequences of Serial Dependence in Vestibular Neural Models Presentation Charles Eugene Smith, North Carolina State University
10:45 AM	Hybrid-Based Confidence Intervals for the Risk Ratio in the Analysis of Correlated Binary Data Krishna Kanta Saha, Central CT State University; Shaymal Halder, University of Connecticut; Suojin Wang, Texas A & M University
10:50 AM	Homogeneity Test of Ratio of Two Proportions in Stratified Bilateral and Unilateral Data Huipei Wang, University at Buffalo; Changxing Ma, University at Buffalo
11:00 AM	Autologistic Network Model on Binary Data for Disease Progression Study Yei Eun Shin, National Cancer Institute; Huiyan Sang, Texas A&M University; Dawei Liu, Biogen; Toby A. Ferguson, Biogen; Peter X.K. Song, University of Michigan
11:05 AM	Empirical Likelihood-Based Analysis of Variance Component in Linear Mixed-Effects Models Jingru Zhang, University of Pennsylvania; Haochang Shou, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:10 AM	Power Analysis for the Test on the Treatment by Time Interaction in a Quadratic Growth Curve Mixed Model Haozhen Xu, Arizona State University; Mark Reiser, Arizona State University
11:15 AM	Further Comparisons of the Random Coefficients Model with Repeated Measures ANOVA in Longitudinal Group Randomized Trials Presentation Jonathan Moyer, National Institutes of Health; David Murray, National Institutes of Health
11:20 AM	Methods for Analyzing AB/BA Crossover Design SeungHoon Lee, University of Utah; Fares Qeadan, University of Utah
11:25 AM	A Simulation Study for a Novel Joint Model with Integrated Fractional Brownian Motion Anushka Kumarihamy Palipana, University of Cincinnati; Seongho Song, University of Cincinnati; Nishant Gupta, University of Cincinnati; Rhonda Szczesniak, Cincinnati Children's Hospital Medical Center
11:30 AM	Spline Linear Mixed Effects Models for Causal Mediation Analysis with Longitudinal Data Jeffrey M Albert, Case Western Reserve University; Tanujit Dey, Brigham & Women's Hospital; Jiayang Sun, George Mason University; Wojbor Woyczynski, Case Western Reserve University; Hongxu Zhu, Case Western Reserve University; Gregory Powers, Case Western Reserve University; Meeyoung Min, The University of Utah
11:35 AM	The Stability of Never Thawed Serum Samples Stored in Liquid Nitrogen: Data from the National Health and Nutrition Examination Survey, 1999–2000 and 2005–2006 Jennifer Rammon, National Center for Health Statistics/CDC; Eric Tolliver, U.S. Food and Drug Administration; Renee Storandt, National Center for Health Statistics/CDC; Geraldine M McQuillian, National Center for Health Statistics/CDC
11:40 AM	Learning Something from Nothing: Methods for Low Time Density Trajectory Models Anjishnu Banerjee, Medical College of Wisconsin

11:45 AM	Floor Discussion

104 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Novel Methodology for the Analysis of Physical Activity Data Measured by Accelerometers — Invited Papers
Biometrics Section, Section on Nonparametric Statistics, Section on Medical Devices and Diagnostics
Organizer(s): Erjia Cui, Johns Hopkins Bloomberg School of Public Health
Chair(s): Erjia Cui, Johns Hopkins Bloomberg School of Public Health
1:35 PM	Compositional Data Analysis for the 24-Hour Activity Cycle: Methods Considerations and Applications to the Women’s Health Initiative Chongzhi Di, Fred Hutchinson Cancer Research Center; Yifan Zhu, Fred Hutchinson Cancer Research Center; Guangxing Wang, Fred Hutchinson Cancer Research Center
2:00 PM	A Case Study of the Micro-Randomized Trial of HeartSteps V2 Xiang Meng, Harvard University; Peng Liao, Harvard University; Susan Murphy, Harvard University; Predrag Klasnja, University of Michigan; Walter Dempsey, University of Michigan; Nick Reid, University of Washington
2:25 PM	Establishing Population Reference Quantities of Interpretable Summaries of Physical Activity from Accelerometry Data Andrew Leroux, University of Colorado Anschutz Medical Campus
2:50 PM	Complex Survey-Weighted Functional Regression Methods for Mortality Prediction in National Health and Nutrition Examination Studies (NHANES) Ekaterina Smirnova, Virginia Commonwealth University; Andrew Leroux, University of Colorado Anschutz Medical Campus; Erjia Cui, Johns Hopkins Bloomberg School of Public Health; Lucia Tabacu, Old Dominion University; Ciprian Crainiceanu, Johns Hopkins University
3:15 PM	Floor Discussion

123 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Innovative Designs for Benefit of Patients — Topic-Contributed Papers
Biopharmaceutical Section, Biometrics Section
Organizer(s): Rong Liu, Bristol Myers Squibb
Chair(s): Cristiana Mayer, Janssen R&D
1:35 PM	Adaptive Endpoints Selection with Application in Rare Disease Heng Xu, Nektar Therapeutics; Yi Liu, Nektar Therapeutic; Robert Allen Beckman, Georgetown University Medical Center
1:55 PM	Master Protocols and Their Benefits for Clinical Trial Participants and Patients Presentation Robert Allen Beckman, Georgetown University Medical Center
2:15 PM	A Roadmap to Using Historical Controls in Clinical Trials, by Drug Information Association Innovative Design Scientific Working Group Mercedeh Ghadessi, Bayer Pharamceuticals
2:35 PM	Ethics: Patients, Research Subjects, and Drug Development Gianna McMillan, Loyola Marymount University Bioethics Institute
2:55 PM	Discussant: Zoran Antonijevic, MedSource
3:15 PM	Floor Discussion

125 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
A New Era of Mark-Recapture: Advances in Bayesian Methods for Modeling and Inference — Topic-Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics and the Environment, Biometrics Section
Organizer(s): James R Faulkner, National Oceanic and Atmospheric Administration
Chair(s): Russell W. Perry, U.S. Geological Survey
1:35 PM	Bayesian State-Space Models for Acoustic Telemetry Data Saman Muthukumarana, University of Manitoba; Inesh Munaweera, University of Manitoba; Darren Gillis, University of Manitoba
1:55 PM	Incorporating Dead Recoveries into a Temporally-Stratified Mark-Recapture Model for Migratory Animals James R Faulkner, National Oceanic and Atmospheric Administration
2:15 PM	Temporally-Stratified Capture-Recapture Models for Migratory Animals Dalton Hance, United States Geological Survey; Russell W. Perry, U.S. Geological Survey; Adam Pope, United States Geological Survey
2:35 PM	Integrating Time-Varying Individual Covariates into Space-for-Time CJS Models Using Hazard Functions Adam Pope, United States Geological Survey; Russell W. Perry, U.S. Geological Survey
2:55 PM	Measuring the Additive Effects of Predation Across Spatial Scales Using Capture-Recapture-Recovery Data Quinn Payton, Real Time Research
3:15 PM	Floor Discussion

127 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Methods for Multi-Omic Data Analysis — Topic-Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, Section on Statistics in Epidemiology, Caucus for Women in Statistics
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Chad (Qianchuan) He, Public Health Sciences Division, Fred Hutch
1:35 PM	Individual-Level Differential Expression Analysis for Single Cell RNA-Seq Data Si Liu, Fred Hutchinson Cancer Research Center; Mengqi Zhang, University of Pennsylvania; Zhen Miao, University of Washington; Fang Han, University of Washington; Raphael Gottardo, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center
1:55 PM	Bayesian Inference on Multilayered Non-Normal Graphical Models Min Jin Ha, University of Texas MD Anderson Cancer Center; Moumita Chakraborty, University of Texas MD Anderson Cancer Center; Anindya Bhadra, Purdue University; Veerabhadran Baladandayuthapani, University of Michigan
2:15 PM	Cell Type-Specific Expression Quantitative Trait Loci Paul Little, Fred Hutchinson Cancer Research Center; Yun Li, UNC-Chapel Hill; Danyu Lin, University of North Carolina at Chapel Hill; Wei Sun, Fred Hutchinson Cancer Research Center
2:35 PM	Mixed-Effects Regression Models for Analyzing Data with Excess Zeros Yang Liu, Wright State University; Guangyu Xu, Wright State University
2:55 PM	Dimension Reduction in Integrative Survival Analysis with Application to Pan-Cancer Proteomics Aaron Molstad, University of Florida; Rohit Patra, University of Florida
3:15 PM	Floor Discussion

128 *	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
New Methods and Diagnostics for Propensity Score Matching — Topic-Contributed Papers
Health Policy Statistics Section, Biometrics Section, ENAR
Organizer(s): Ben B. Hansen, University of Michigan
Chair(s): Ben B. Hansen, University of Michigan
1:35 PM	Evaluating and Improving a Matched Comparison of Antidepressants and Bone Density Ruoqi Yu, University of Pennsylvania
1:55 PM	Accounting for Inexact Matching via Model-Weighted Randomization Inference and Partially Randomized Design Samuel D. Pimentel, University of California, Berkeley
2:15 PM	Fast Algorithms for Propensity Score Matching Presentation Pavel Ruzankin, Novosibirsk State University; Anton S. Tarasenko, Novosibirsk State University
2:35 PM	Full Matching with More Precise Set Size Constraints Presentation Mark Fredrickson, University of Michigan, Ann Arbor; Ben B. Hansen, University of Michigan
2:55 PM	Discussant: Thomas E. Love, Case Western Reserve University School of Medicine
3:15 PM	Floor Discussion

144 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Biases, Batch Effects, and Novel Statistical Methodologies: Handling Them in Large-Scale Microbiome Sequencing Studies — Invited Papers
ENAR, Biometrics Section, Canadian Statistical Sciences Institute
Organizer(s): Ni Zhao, Johns Hopkins University
Chair(s): Anna Plantinga, Williams College
10:05 AM	ConQuR: Batch Effect Correction for Microbiome Data via Conditional Quantile Regression Wodan Ling, Fred Hutchinson Cancer Research Center; Michael C Wu, Fred Hutchinson Cancer Research Center
10:25 AM	Bias-Robust Analysis of Microbiome Data Glen Satten, Emory University
10:45 AM	Differential Abundance Analysis of Microbiomes with Bias Correction Shyamal Peddada, The Eunice Kennedy Shriver National Institute of Child Health and Human Development
11:05 AM	BugSigDB: A Database of Published Microbial Signatures Levi Waldron, CUNY Graduate school Public Health and Health Policy
11:25 AM	Integrative Analysis of Multiple Microbiome Data Sets: Robust Models Against Biases and Batches Ni Zhao, Johns Hopkins University; Mengyu He, JOHNS HOPKINS UNIVERSITY; Runzhe Li, Johns Hopkins Bloomberg School of Public Health
11:45 AM	Floor Discussion

148 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Considerations in Clinical Trial Endpoints’ Selection — Invited Papers
Biopharmaceutical Section, Health Policy Statistics Section, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Freda Cooner, Amgen
Chair(s): Laura Fernandes, FDA
10:05 AM	Treatment-Free Survival and Depth of Response as Novel Endpoints of Immuno-Oncology (IO)-Based Therapy for Metastatic Renal Cell Carcinoma (MRCC) Presentation Meredith M Regan, Dana-Farber Cancer Institute; Laura Fernandes, FDA
10:30 AM	Handling Missing Data Through Combining of Endpoints Jitendra Ganju, Ganju Clinical Trials, LLC; Ron Yu, Gilead Sciences
10:55 AM	Win Statistics: Impact of Follow-up Time and Unbiased Estimators of Treatment Effect in the Presence of Censoring Gaohong Dong, BeiGene; Victoria Chang, BeiGene; Bo Huang, Pfizer Inc.; James Song, BeiGene; Duolao Wang, Liverpool School of Tropical Medicine, UK; Lu Mao, University of Wisconsin; Jiuzhou Wang, ImmunoGen Inc.; Johan Verbeeck, University Hasselt, Belgium ; Margaret Gamalo-Siebers, Pfizer Inc.; David C. Hoaglin, University of Massachusetts Medical School
11:20 AM	How to Measure the Treatment Effect in COVID-19 Clinical Studies? Lu Tian, Stanford University ; LJ Wei, Harvard University; Zachary McCaw, Google Inc
11:45 AM	Floor Discussion

150 !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
COVID-19 Vaccine Statistics: A Reflection on a Year at Warp Speed — Invited Papers
Biometrics Section, Biopharmaceutical Section, Section on Statistics in Epidemiology
Organizer(s): David Benkeser, Emory University
Chair(s): David Benkeser, Emory University
10:05 AM	US Regulatory Considerations for COVID-19 Vaccine Trials John Scott, FDA / CBER
10:25 AM	The Burden of Selecting a Primary Efficacy Endpoint: Consideration of a COVID-19 Burden of Disease Endpoint Jonathan V Hartzel, Merck & Co., Inc.; Devan V Mehrotra, Merck & Co., Inc.
10:45 AM	Understanding the Effects of COVID-19 Vaccines on Reducing Secondary Transmission Holly Janes, Fred Hutchinson Cancer Research Center
11:05 AM	Inference for Natural Mediation Effects Under Case-Cohort Sampling with Applications in Identifying COVID-19 Vaccine Correlates of Protection Ivan Diaz, Weill Cornell Medical College
11:25 AM	Discussant: Dean Follmann, NIH
11:45 AM	Floor Discussion

157 *	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Advances in Analytic Methods and Novel Applications of the Use of Synthetic Control for Causal Estimation of Effects of Therapeutic Interventions — Topic-Contributed Papers
Biometrics Section, ENAR, Section on Medical Devices and Diagnostics
Organizer(s): Margaret Gamalo, Pfizer
Chair(s): Chao-Kang Jason Liang, National Institute of Allergy and Infectious Diseases
10:05 AM	Synthetic Control Trial Design with Enhanced Double Robust Estimate of Rx Effect Ming Tan, Georgetown University
10:25 AM	Evaluation of Diagnostic Tests for Low Prevalence Diseases with Leveraging Real-World Data Wei-Chen Chen, FDA/CDRH; Heng Li, FDA/CDRH; Nelson Lu, FDA/CDRH; Changhong Song, FDA/CDRH; Chenguang Wang, JHU; Ram Tiwari, FDA/CDRH; Yunling Xu, CDRH/FDA; Lilly Q. Yue, FDA/CDRH
10:45 AM	Innovative Adaptive Design for Confirmatory Trials: A Case Study in Pediatrics Junjing Lin, Takeda Pharmaceuticals; Margaret Gamalo-Siebers, Pfizer Inc.; Ran Liao, Eli Lilly
11:05 AM	Some Practical Issues of Augmenting Concurrent Control Data with Synthetic Control Binbing Yu, AstraZeneca, LLC
11:25 AM	Design and Analysis of Externally Controlled Trials: Regulatory Review Experience in Hematology and Oncology Drug Applications Presentation Haiyan Chen, FDA
11:45 AM	Floor Discussion

161 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Collaboratively Improve Trial Design and Result Interpretation Through the Estimand Framework — Topic-Contributed Panel
Biopharmaceutical Section, ENAR, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Lei Nie, Office of Biostatistics (OB), OTS, CDER, FDA
Chair(s): Roderick Joseph Little, University of Michigan
10:05 AM	Collaboratively Improve Trial Design and Result Interpretation Through the Estimand Framework
Panelists:	Paul Kluetz, The US FDA Gregory Levin, The US FDA Bohdana Ratitch, Bayer Anthony Man, Novartis Sally Seymour, Food and Drug Administration
11:40 AM	Floor Discussion

182 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
New Approaches in Statistical Modeling of Infectious Diseases — Invited Papers
Canadian Statistical Sciences Institute, SSC (Statistical Society of Canada), Biometrics Section
Organizer(s): Mahmoud Torabi, University of Manitoba
Chair(s): Rhonda J. Rosychuk, University of Alberta
1:35 PM	Time Series Approaches to Compare Covid-19 Mortality in the Province of Ontario, Canada, Across Three Epidemic Waves Charmaine Dean, University of Waterloo; Georges Bucyibaruta, University of Waterloo; Elizabeth Renouf, University of Waterloo; Dexen Xi, National Research Council Canada
2:00 PM	Inference for Individual-Level Models of Infectious Diseases with an Application to the COVID-19 Pandemic Mahmoud Torabi, University of Manitoba; Leila Amiri, University of Manitoba
2:25 PM	Machine Learning-Assisted Infectious Disease Modeling Presentation Rob Deardon, University of Calgary
2:50 PM	Spatial-Temporal Modeling of COVID-19 Mortality Risk in Toronto, Canada Cindy Feng, Dalhousie University
3:15 PM	Floor Discussion

187 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Surrogate Markers and the Role of Mediation Analysis in Drug Development — Invited Papers
Biometrics Section, Lifetime Data Science Section, ENAR
Organizer(s): Peng Wei, The University of Texas MD Anderson Cancer Center
Chair(s): Peng Wei, The University of Texas MD Anderson Cancer Center
1:35 PM	Correlating Surrogate Endpoints with Overall Survival at the Individual Patient Level for Precision Oncology Emily C Zabor, Cleveland Clinic
1:55 PM	Joint Modeling of Surrogate and Primary End Points via Causal Mediation Analyses Yen-Tsung Huang, Academia Sinica
2:15 PM	A Survival Mediation Model with Bayesian Model Averaging Jie Zhou, Cleveland Clinic Foundation; Peng Wei, The University of Texas MD Anderson Cancer Center; Brian Hobbs, The University of Texas at Austin
2:35 PM	Predicting Outcomes of Phase III Oncology Trials with Bayesian Mediation Modeling Jie Zhou, Cleveland Clinic Foundation; Xun Jiang, Amgen; Amy Xia, Amgen; Peng Wei, The University of Texas MD Anderson Cancer Center; Brian Hobbs, The University of Texas at Austin
2:55 PM	Discussant: Stijn Vansteelandt, Ghent University
3:15 PM	Floor Discussion

191 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Research in Rapid Response to COVID-19 Pandemic: Forecasts, Risk Factors, Therapeutics, and Vaccine Trials — Invited Papers
Health Policy Statistics Section, ENAR, Biometrics Section
Organizer(s): Yuanjia Wang, Columbia University
Chair(s): Shanghong Xie , Columbia Unviersity
1:35 PM	COVID-19 Forecasts and Scenarios for the United States Bobby Reiner, University of Washington
1:55 PM	A Hierarchical Epidemic Model to Estimate the Time-Varying Reproduction Numbers and Prevalence of COVID-19 Infections Accounting for Under-Reporting and Delayed Reporting of Cases Rounak Dey, Harvard T.H. Chan School of Public Health; Haoyu Zhang, Harvard T.H. Chan School of Public Health; Corbin Quick, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard T.H. Chan School of Public Health
2:15 PM	Dynamic Risk Assessment of COVID-19 Hospitalization from Electronic Health Records (EHRs) Yuanjia Wang, Columbia University
2:35 PM	Statistical Aspects of COVID-19 Vaccine Trials Dean Follmann, NIH
2:55 PM	Discussant: Donglin Zeng, UNC Chapel Hill
3:15 PM	Floor Discussion

200 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Challenges and Opportunities for Expedited Oncology Drug Development — Topic-Contributed Papers
Biopharmaceutical Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Qing Li, Takeda Pharmaceuticals
Chair(s): Jianchang Lin, Takeda Pharmaceuticals
1:35 PM	Multiplicity Issues for Platform Trials with a Shared Control Arm Xiaofei Bai, Boehringer-Ingelheim Pharmaceutical Inc.; Qiqi Deng, Boehringer-Ingelheim Pharmaceutical Inc.; Dacheng Liu, Boehringer-Ingelheim Pharmaceutical Inc.
1:55 PM	A Unified Framework for Time-to-Event Dose-Finding Designs Tianjian Zhou, Colorado State University; Yuan Ji, The University of Chicago
2:15 PM	Prediction of Combination Treatment Effect and Its Application in Oncology Trial Design Presentation Linda Sun, Merck & Co., Inc.; Cong Chen, Merck & Co., Inc.; Cai (Iris) Wu, Merck & Co., Inc.; Fang Liu, Merck & Co., Inc.; Yixin Ren, Merck & Co., Inc.; Leah Suttner, Merck & Co., Inc.; Xiaoyun (Nicole) Li, Merck & Co.
2:35 PM	Incorporating Surrogate Information for Adaptive Subgroup Enrichment Design with Sample Size Reestimation Qing Li, Takeda Pharmaceuticals; Jianchang Lin, Takeda Pharmaceuticals; Mengya Liu, Takeda Pharmaceuticals; Liwen Wu, University of Pittsburgh
2:55 PM	Hierarchical Testing of a Primary and Secondary Endpoint in a Group Sequential Design with Different Information Times Presentation Dong Xi, Novartis Pharmaceuticals, East Hanover, New Jersey, USA ; Jiangtao Gou, Villanova University
3:15 PM	Floor Discussion

205	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Digital Phenotyping — Topic-Contributed Papers
Mental Health Statistics Section, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Samprit Banerjee, Weill Medical College of Cornell University
Chair(s): Jihui Lee, Weill Medical College of Cornell University
1:35 PM	Quantifying Environmental Exposures from Smartphone Data Jukka-Pekka Onnela, Harvard University; Aarti Sathyanarayana, Harvard University
1:55 PM	Digital Phenotyping for Predicting Depression with Weakly Labeled Data Samprit Banerjee, Weill Medical College of Cornell University; Hongzhe Zhang, Weill Medical College, Cornell University; Jihui Lee, Weill Medical College of Cornell University
2:15 PM	Within-Cluster Resampling with Informative Correlation Ian Barnett, University of Pennsylvania
2:35 PM	Next Steps in Federated Learning and Privacy Protection for Mobile and Digital Health Presentation Alexander Shen, University of Michigan; Ambuj Tewari, University of Michigan
2:55 PM	Distributional Data Analysis via Quantile Functions and Its Application to Modeling Digital Biomarkers of Gait in Alzheimer’s Disease Rahul Ghosal, Johns Hopkins Bloomberg School of Public Health; Vijay R. Varma, National Institute on Aging (NIA), National Institutes of Health (NIH); Dmitri Volfson, Neuroscience Analytics, Computational Biology, Takeda, Cambridge, MA, USA ; Inbar Hillel, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Jacek Urbanek, Johns Hopkins University School of Medicine; Jeffrey M. Hausdorff, Tel Aviv University, Tel Aviv, Israel; Amber Watts, Department of Psychology, University of Kansas; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
3:15 PM	Floor Discussion

207 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Distinctive Statistical Considerations in Nursing Education and Research — Topic-Contributed Panel
ENAR, Section on Teaching of Statistics in the Health Sciences, Biometrics Section
Organizer(s): Matthew J Hayat, Georgia State University
Chair(s): Todd Schwartz, University of North Carolina at Chapel Hill
1:35 PM	Distinctive Statistical Considerations in Nursing Education and Research
Panelists:	Matthew J Hayat, Georgia State University Melinda Higgins, Emory University Myoungjin Kim, Illinois State University Wei Pan, Duke University Yelena Perkhounkova, The University of Iowa
3:15 PM	Floor Discussion

208	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Personalized and Precision Medicine — Contributed Speed
Biometrics Section
Chair(s): Madan G Kundu, Daiichi Sankyo, Inc.
1:35 PM	Optimal Personalized Treatment Selection with Multivariate Outcome Measures in a Multiple Treatment Case Chathura Siriwardhana, University of Hawaii; KB Kulasekara, University of Louisville
1:40 PM	Synergistic Self-Learning Approach to Establishing Personal Nutrition Intervention Schemes from Multiple Benefit Outcomes in a Calcium Supplementation Trial Yiwang Zhou, Department of Biostatistics, University of Michigan; Peter X.K. Song, University of Michigan
1:45 PM	Investigating Stability in Subgroup Identification for Stratified Medicine Gleicy Macedo Hair, Merck & Co., Inc.; Thomas Jemielita, Merck & Co., Inc.; Shahrul Mt-Isa , MSD; Patrick Schnell, The Ohio State University College of Public Health; Richard Baumgartner, Merck Research Laboratories
1:50 PM	A Nonparametric Bayesian Approach for Adjusting Partial Compliance in Sequential Decision-Making Indrabati Bhattacharya, University of Rochester; Ashkan Ertefaie, University of Rochester; Andrew Gordon Wilson, New York University; Brent Johnson, University of Rochester; James Mckay, University of Pennsylvania; Kevin Lynch, University of Pennsylvania
1:55 PM	Comparison of Methods for Estimating Optimal Dynamic Treatment Regimes Yingyi Liu, AbbVie; Hongwei Wang, AbbVie; Weili He, AbbVie
2:00 PM	Estimating Optimal Treatment Decision Rules When Data Are Missing Jenny Shen, University of Pennsylvania; Kristin Linn, University of Pennsylvania
2:05 PM	Statistics Methods for Assessing Drug Interactions Using Observational Data Qian Xu, University of Louisville; Maiying Kong, University of Louisville
2:10 PM	Constructing Dynamic Treatment Regimes in Presence of Noncompliance Ashkan Ertefaie, University of Rochester; Cuong Pham, University of Rochester, Dept of Biostatistics and Computational Biology
2:15 PM	Relative Contrast Estimation and Inference for Treatment Recommendation Muxuan Liang, Fred Hutchinson Cancer Research Center; Menggang Yu, University of Wisconsin
2:20 PM	Design Considerations and Analytical Framework for Reliably Identifying a Beneficial Individualized Treatment Rule Charles H Cain, University of Minnesota; Thomas Murray, Division of Biostatistics, University of Minnesota; Kyle D Rudser, University of Minnesota; Alexander J Rothman, University of Minnesota; Anne C Melzer, Minneapolis VA Health Care System; Anne M Joseph, University of Minnesota
2:30 PM	Developing prediction models when there are systematically missing predictors in an individual patient data meta-analysis Michael Seo, University of Bern
2:35 PM	Transportability of Causal Inference Under Probabilistic Dynamic Treatment Regimes for Organ Transplantation Grace R Lyden, University of Minnesota School of Public Health; David M Vock, University of Minnesota School of Public Health
2:40 PM	Adaptive Combination of Conditional Average Treatment Effects Based on Randomized and Observational Data David Cheng, Massachusetts General Hospital; Tianxi Cai, Harvard T.H. Chan School of Public Health
2:45 PM	Counterfactual Prediction to Support Individualized Decisions on Treatment Initiation Pawel Morzywolek, Ghent University; Stijn Vansteelandt, Ghent University
2:50 PM	Weighting for Generalization and Personalization of Causal Inferences Ambarish Chattopadhyay, Harvard University; Eric Cohn, Harvard University; Jose Zubizarreta, Harvard University
2:55 PM	Modeling of Q-Functions in Q-Learning Xiaoxi Yan, Duke–NUS Medical School; Zhiguo Li, Duke University
3:00 PM	MoTR and PSTn: Building a Causal Engine for Estimating the Within-Individual Average Treatment Effect Using Wearable Sensors Presentation Eric J. Daza, Evidation Health; Logan Schneider, Stanford Medicine, Alphabet
3:05 PM	Predicting Current and Future Individual Benefits of Medical Treatments Using 2-Dimensional Personalized Medicine Models Presentation Francisco Diaz, The University of Kansas Medical Center
3:10 PM	Variable Selection for Interval-Censored Data with Time-Varying Coefficients and Application to Alzheimer's Disease Kaiyi Chen, University of Missouri-Columbia; Jianguo Sun, Univerisity of Missouri-Columbia
3:15 PM	Semiparametric Maximum Likelihood Estimation of Panel Count Data with Time-Dependent Covariates and Time-Varying Coefficients Yuanyuan Guo, University of Missouri, Columbia

218 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Leveraging and Advancing Deep Learning Techniques in Biomedical Related Fields — Invited Papers
International Chinese Statistical Association, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Jian Kang, University of Michigan; Tianyu Zhan, Data and Statistical Sciences, AbbVie Inc.
Chair(s): Tianyu Zhan, Data and Statistical Sciences, AbbVie Inc.
10:05 AM	Deep Learning in Pharma Industry Haoda Fu, Eli Lilly and Company
10:30 AM	Statistics Inferences on Neuroimaging Data via Deep Neural Networks Jian Kang, University of Michigan
10:55 AM	Efficient Multi-Modal Sampling via Tempered Distribution Flow Xiao Wang, Purdue University; Yixuan Qiu, Shanghai University of Finance and Economics
11:20 AM	A Representational Model of Grid Cells' Path Integration Based on Matrix Lie Algebras Presentation Ying Nian Wu, UCLA
11:45 AM	Floor Discussion

224 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
New Insights from Analyzing Functional Data in Biomedical Research — Invited Papers
ENAR, Biometrics Section, International Chinese Statistical Association
Organizer(s): Wei Yang, University of Pennsylvania
Chair(s): Wensheng Guo, University of Pennsylvania
10:05 AM	Spatiotemporal Modeling of Distributional Climate Data Using Semiparametric Quantile Functional Regression Jeffrey S. Morris, University of Pennsylvania Perelman School of Medicine; Hojin Yang, Pusan National University; Veerabhadran Baladandayuthapani, University of Michigan; Birgir Hrafnkelsson, University of Iceland
10:30 AM	A Sequential Monte Carlo Gibbs Coupled with Stochastically Approximated Expectation-Maximization Algorithm for Functional Data Ziyue Liu, Indiana University School of Medicine
10:55 AM	Simultaneous Curve Registration and Clustering of Digital Electrocardiogram Wei Yang, University of Pennsylvania; Wensheng Guo, University of Pennsylvania
11:20 AM	A Latent Class Functional Mixed Effects Model for Flexible Longitudinal Data Clustering Tianhao Wang, Rush University Medical Center
11:45 AM	Floor Discussion

226 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Novel Interventional Approaches to Causal Mediation Analysis: Theory and Practice — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, American College of Epidemiology
Organizer(s): Judith J. Lok, Boston University
Chair(s): Ariel Chernofsky, Boston University
10:05 AM	An Interventionist Approach to Mediation Analysis Thomas Richardson, University of Washington; James M Robins, Harvard T. H. Chan School of Public Health; Ilya Shpitser, Johns Hopkins University
10:30 AM	Causal Mediation and Separable Effects in Survival Analyzes Vanessa Didelez, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
10:55 AM	Organic Indirect Effects: A Product Method for Binary Mediators, with Application to Selection of Potential HIV Cures into Clinical Trials Judith J. Lok, Boston University; Ronald Bosch, Center for Biostatistics in AIDS Research, Harvard TH Chan School of Public Health
11:20 AM	Discussant: Linda Valeri, Columbia University
11:40 AM	Floor Discussion

233 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Evaluating Individualized Predictions of Risk and Benefit for Clinical Use — Topic-Contributed Papers
WNAR, Biometrics Section, ENAR
Organizer(s): Hormuzd Katki, National Cancer Institute
Chair(s): Debamita Kundu, NIH/NCI
10:05 AM	Model-Based ROC (MROC) Curve: Examining the Effect of Case-Mix and Model Calibration on the ROC Plot Presentation Mohsen Sadatsafavi, The University of British Columbia ; Paramita Saha-Chaudhuri, University of Vermont; John Petkau, The University of British Columbia
10:25 AM	Moving from Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained from Prevention Services Li C Cheung, US National Cancer Institute; Anil Chaturvedi, National Cancer Institute; Hormuzd Katki, National Cancer Institute
10:45 AM	Using Stochastic Orders to Evaluate Performance of Predictive Models: Intransitivity, Area Under the ROC, and Strength of Stochastic Order Relationships Olga Demler, Harvard University
10:55 AM	Discussant: Gene Pennello, FDA
11:25 AM	Floor Discussion

236 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
New Developments in Integrated Analysis of Complex Data from Multiple Sources — Topic-Contributed Papers
Biometrics Section, Biopharmaceutical Section, International Chinese Statistical Association
Organizer(s): Xiaofei Wang, Duke University
Chair(s): Herbert Pang, Genentech
10:05 AM	Identifying Temporal Pathways Using High-Dimensional Biomarkers Shanghong Xie , Columbia Unviersity; Donglin Zeng, UNC Chapel Hill; Yuanjia Wang, Columbia University
10:25 AM	Fusion Designs and Estimators Stephen Cole, UNC
10:45 AM	Improving Trial Generalizability Using Observational Studies Lin Dong, Wells Fargo; Shu Yang, North Carolina State University
11:05 AM	Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population Issa J. Dahabreh, Harvard T. H. Chan School of Public Health; Sarah E. Robertson, Brown University; Lucia C. Petito, Northwestern University; Miguel Hernán, Harvard T. H. Chan School of Public Health; Jon Steingrimsson, Brown University
11:25 AM	Discussant: Miguel Hernan, Harvard School of Public Heatlh
11:45 AM	Floor Discussion

238 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Addressing Nonproportional Hazards Issues in Oncology Clinical Trial Design — Topic-Contributed Papers
Biopharmaceutical Section, Biometrics Section, Statistics and Pharmacometrics Interest Group
Organizer(s): Revathi Ananthakrishnan, Bristol-Myers Squibb; Daniel Li, Bristol-Myers Squibb
Chair(s): Daniel Li, Bristol-Myers Squibb
10:05 AM	New alternative measures to hazard ratio HAJIME UNO, Dana-Farber Cancer Institute
10:25 AM	Max-Combo Test for Time-to-Event Endpoints Under Nonproportional Hazards Ray Lin, Genentech
10:45 AM	Design for Immuno-Oncology Clinical Trials with Nonproportional Hazards Patterns ZHENZHEN XU, FDA; Bin Zhu, National Cancer Institute; YONGSOEK PARK, University of Pittsburg
11:05 AM	A 5-Step Stratified Testing and Amalgamation Routine Rachel Marceau West, Merck & Co. ; Devan V Mehrotra, Merck & Co., Inc.
11:25 AM	Discussant: Kay Tatsuoka, Bristol Myers Squibb
11:45 AM	Floor Discussion

268 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Replicability and the Narrative of Scientific Research — Invited Papers
American Association for the Advancement of Science, Quantitative Communication Interest Group, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Prasad Patil, Boston University School of Public Health
Chair(s): Prasad Patil, Boston University School of Public Health
1:35 PM	Transportability of Risk Prediction Models Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University; Issa Dahabreh, Brown University; Bing Li, Brown University; Samantha Morrison, Brown University
1:55 PM	Cross-Study Learning for Generalist and Specialist Predictions Boyu Ren, McLean Hospital; Prasad Patil, Boston University School of Public Health; Francesca Dominici, Harvard University; Giovanni Parmigiani, Harvard University; Lorenzo Trippa, Harvard University
2:15 PM	Replicability and Missing Data in Deep Learning and Clinical Prediction Naim Rashid, University of North Carolina At Chapel Hill, Dept of Biostatistics; David Lim, University of North Carolina At Chapel Hill, Dept of Biostatistics; Joseph G Ibrahim, UNC
2:35 PM	Improved Inference for Heterogeneous Treatment Effects Using Real-World Data Subject to Hidden Confounding Shu Yang, North Carolina State University
2:55 PM	Discussant: Elizabeth Tipton, Northwestern University
3:15 PM	Floor Discussion

286	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Missing Data Methods — Contributed Speed
Biometrics Section
Chair(s): Mingzhao Hu, University of California Santa Barbara
	Direct Estimation of the Area Under the Receiver Operating Characteristic Curve with Verification Biased Data Gengsheng Qin, Georgia State University; Yan Hai, Georgia State University
	Impact of Inconsistent Imputation Models in Mediation Analysis with Clustered Data Bo Ye, State University of New York at Albany; Recai Yucel, Temple University
	Flexible Variable Selection in the Presence of Missing Data Brian Williamson, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center
	Variability in Causal Effects of E-Assist on a Binary Outcome and One-Sided Noncompliance in a Multi-Site Randomized Trial Presentation Xinxin Sun, Virginia Commonwealth University; Yongyun Shin, Virginia Commonwealth University
	The Competing Risks Cox Model When Failure Type Is Missing Not at Random Benjamin W Langworthy, Harvard University; Tomotaka W Ugai, Harvard University; Shuji Ogino, Harvard University; Molin Wang, Harvard T.H. Chan School of Public Health
	Data Fusion for Time-to-Event Outcomes Fatema Shafie Khorassani, University of Michigan; Xu Shi, Department of Biostatistics, University of Michigan; Jeremy M.G. Taylor, University of Michigan
	Positive Unlabeled Learning with Missing Data in Electronic Health Records Tanayott Thaweethai, Massachusetts General Hospital Biostatistics Center; Caitlin Ann Selvaggi, Massachusetts General Hospital Biostatistics Center; Andrea Sarah Foulkes, Massachusetts General Hospital Biostatistics Center
	Score Tests with Incomplete Covariates and High-Dimensional Auxiliary Variables Kin Yau Wong, The Hong Kong Polytechnic University
	Understanding Algorithmic Bias in Clinical Prediction Models Mengying Yan, Department of Biostatistics & Bioinformatics, Duke University; Michael Pencina, Department of Biostatistics & Bioinformatics, Duke University; Benjamin A Goldstein, Duke University
	Mining for Equitable, Intelligent Health: Assessing the Impact of Missing Data in Raw Electronic Health Records Emily Getzen, Department of Biostatistics at UPenn; Qi Long, Department of Biostatistics at UPenn
	Penalized Regression and Multiple Imputation: A Simple Aggregation Rule That Works Surprisingly Well Ryan A Peterson, University of Colorado
	Impact of Degree of Missingness and Sample Size on the Performance of Imputation Methods for Mass Spectrometry Data Sandra L Taylor, University of California, Davis; Matthew Dominic Ponzini , University of California, Davis; Machelle D Wilson, University of California, Davis; Kyoungmi Kim, University of California, Davis
	Statistical Collaboration for Competing Risk Analysis: Smoking Cessation and the Risk of Second Primary Lung Cancer Among Lung Cancer Survivors Sophia Luo, Stanford University School of Medicine; Eunji Choi, Stanford University School of Medicine; Summer S. Han, Stanford University School of Medicine
	Comparison of Variable Selection Methods Based on LASSO After Multiple Imputation of Missing Covariates in Survival Data Qian Yang, Duke University; Susan Halabi, Duke University; Bin Luo, Duke University
	Analyzing Left-Truncated Samples with the Cox Model in the Presence of Missing Covariates Hayley Richardson, University of Pennsylvania; Sharon Xie, University of Pennsylvania
	The Efficiency of Multistage Pooling in Estimating the Prevalence of Multiple Infections Carlos Wilensky, Radford University; Md S. Warasi, Radford University
	Construction and Assessment of Prognostic Rules in the Presence of Missing Predictor Data Using Multiple Imputation: Methodology and Evaluation on Two Data Sets and Simulations Bart Mertens, Leiden University Medical Centre
	Statistical Analysis of Doubly Censored Recurrent Emergency Departments (ED) Visits Data Yi Xiong, Simon Fraser University; Joan X. Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta
	A joint latent class model of longitudinal and survival data with time-varying membership probability and covariance modelling Ruoyu Miao, University of Manchester; Christiana Charalambous, University of Manchester

295 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Causal, Robust, and Machine Learning for Survival Outcomes — Invited Papers
Lifetime Data Science Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Jelena Bradic, University of California, San Diego
Chair(s): Jelena Bradic, University of California, San Diego
3:35 PM	Instrumental Variable Estimation of Marginal Structural Cox Model for Time-Varying Treatments Eric Tchetgen Tchetgen, University of Pennsylvania
4:00 PM	Some Advances in Finite-Horizon Reinforcement Learning for Time-to-Event Outcomes Michael Kosorok, University of North Carolina at Chapel Hill
4:25 PM	Assumption-Lean Inference for Cox Regression Parameters Stijn Vansteelandt, Ghent University; Oliver Dukes, Ghent University; Kelly Van Lancker, Ghent University, Belgium
4:50 PM	Towards Double Robustness under the Cox Marginal Structural Model Ronghui Xu, University of California at San Diego; Denise Rava, Ucsd; Jelena Bradic, University of California, San Diego
5:15 PM	Floor Discussion

297	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Recent Statistical Advances for Mobile Health — Invited Papers
Biometrics Section, ENAR, WNAR
Organizer(s): Walter Dempsey, University of Michigan
Chair(s): Zhenke Wu, University of Michigan, Ann Arbor
3:35 PM	Recurrent Event Analysis in the Presence of Real-Time High-Frequency Data via Random Subsampling Walter Dempsey, University of Michigan
3:50 PM	Regularized Greedy Gradient Q-Learning with Mobile Health Applications Min Qian, Columbia University
4:05 PM	Physical Activity Is the Strongest Modifiable Risk Factor for Mortality: A Short Story Based on NHANES and UK Biobank Data Ciprian Crainiceanu, Johns Hopkins University
4:20 PM	Safe learning methods for mHealth Eric Laber, Duke University
4:35 PM	Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach Nathan Kallus, Cornell University
4:50 PM	Scalar on time-by-distribution regression and its application to modelling cognitive function in Alzheimer's Disease Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
5:05 PM	Floor Discussion

300 !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Addressing Statistical Challenges of the COVID-19 Crisis — Invited Papers
ENAR, International Chinese Statistical Association, Biometrics Section
Organizer(s): Jing Huang, University of Pennsylvania Perelman School of Medicine
Chair(s): Jiasheng Shi, University of Pennsylvania Perelman School of Medicine
3:35 PM	Transmission Dynamic Modeling for COVID-19 Data in US and the World Haoyu Zhang, Harvard T.H. Chan School of Public Health; Chaolong Wang, Huazhong University of Science and Technology; Xihong Lin, Harvard T.H. Chan School of Public Health
4:00 PM	Curating a COVID-19 Data Repository and Forecasting County-Level Death Counts in the United States Presentation Nick Altieri, University of California, Berkeley; Rebecca L Barter, University of California, Berkeley; James Duncan, University of California, Berkeley; Raaz Dwivedi, University of California, Berkeley; Karl Kumbier, University of California, San Francisco; Xiao Li, University of California, Berkeley; Robert Netzorg, University of California, Berkeley; Briton Park, University of California, Berkeley; Chandan Singh, University of California, Berkeley; Yan Shuo Tan, University of California, Berkeley; Tiffany Tang, University of California, Berkeley; Yu Wang, University of California, Berkeley; Chao Zhang, University of California, Santa Barbara; Bin Yu, University of California, Berkeley
4:25 PM	A Semiparametric Regression Model with Online Estimation Algorithm for Dynamics of Disease Transmission Jing Huang, University of Pennsylvania Perelman School of Medicine ; Jiasheng Shi, University of Pennsylvania Perelman School of Medicine ; David Rubin, Children's Hospital of Philadelphia; Jeffrey S. Morris, University of Pennsylvania Perelman School of Medicine
4:50 PM	Genetic Variants Are Identified to Increase Risk of COVID-19-Related Mortality from UK Biobank Data Cai Li, Yale University; Jianchang Hu, Yale University; Shiying Wang, Yale University; Ting Li, Yale University; Heping Zhang, Yale University
5:15 PM	Floor Discussion

307 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Challenges and Advances in Psychological and Behavioral Data Analysis — Topic-Contributed Papers
Mental Health Statistics Section, Biometrics Section, Committee on Applied Statisticians
Organizer(s): Gongjun Xu, University of Michigan
Chair(s): Gongjun Xu, University of Michigan
3:35 PM	Reporting Proficiency Levels for Examinees with Missing Data on Large-Scale Educational Assessments Presentation Sandip Sinharay, Educational Testing Service
3:55 PM	Statistical Inference for Partially Ordered Responses Edward Ip, Wake Forest School of Medicine, Biostatistics & Data Science
4:15 PM	Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM Chun Wang, University of Washington
4:35 PM	Latent Structure Models for Multiclass Data: Identifiability and Estimation Steven Culpepper, University of Illinois at Urbana-Champaign; Ying Liu, University of Illinois at Urbana-Champaign
4:55 PM	A Higher-Order Cognitive Diagnosis Model with Ordinal Attributes for Dichotomous Response Data Wenchao Ma, The University of Alabama
5:15 PM	Floor Discussion

310 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Making Finite Population Inferences from Nonprobability Samples — Topic-Contributed Papers
Survey Research Methods Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Lingxiao Wang, National Cancer Institute, DCEG, Biostatistics Branch
Chair(s): Hormuzd Katki, National Cancer Institute
3:35 PM	Variable Selection Strategies for Effective Quota Sampling and Propensity Weighting: An Application to SARS-Cov-2 Infection Prevalence Estimation Yan Li, University of Maryland, College Park; Barry Graubard, National Cancer Institute, DCEG, Biostatistics Branch; Michael Fay, Biostatistics Research Branch, Division of Clinical Research, NIAID; Sally Hunsberger, NIAID
3:55 PM	Measures of Selection Bias in Regression Coefficients Estimated from Nonprobability Samples Brady T. West, University of Michigan; Roderick Joseph Little, University of Michigan; Rebecca R Andridge, The Ohio State University College of Public Health; Philip Boonstra, University of Michigan; Erin Ware, Institute for Social Research, University of Michigan-Ann Arbor; Anita Pandit, University of Michigan; Fernanda Alvarado-Leiton, Institute for Social Research, University of Michigan-Ann Arbor
4:15 PM	Robust Bayesian Inference for Non-Probability Samples Using Gaussian Process of Propensity Prediction Ali Rafei, University of Michigan; Michael R. Elliott, University of Michigan; Carol Flannagan, University of Michigan
4:35 PM	Efficient and Robust Propensity-Score-Based Methods for Finite Population Inference with Nonprobability Epidemiologic Cohorts Lingxiao Wang, National Cancer Institute, DCEG, Biostatistics Branch; Yan Li, University of Maryland, College Park; Barry Graubard, National Cancer Institute, DCEG, Biostatistics Branch; Hormuzd Katki, National Cancer Institute
4:55 PM	Discussant: Barry Graubard, National Cancer Institute, DCEG, Biostatistics Branch
5:15 PM	Floor Discussion

315	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Biometrics Section Byar Award Student Paper Session I — Topic-Contributed Papers
Biometrics Section
Organizer(s): Chao-Kang Jason Liang, National Institute of Allergy and Infectious Diseases
Chair(s): Chao-Kang Jason Liang, National Institute of Allergy and Infectious Diseases
3:35 PM	Inference on function-valued parameters using a restricted score test Aaron Hudson, University of Washington; Ali Shojaie, University of Washington; Marco Carone, University of Washington
3:55 PM	An Adaptive and Powerful Multivariate Test for Microbiome 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 , Penn State University
4:15 PM	Surrogate-Assisted Sampling for Cost-Efficient Validation of Electronic Health Record Outcomes Arielle Kimberly Marks-Anglin, University of Pennsylvania; Chongliang Luo, University of Pennsylvania; Rebecca Hubbard, University of Pennsylvania; Yong Chen, University of Pennsylvania
4:35 PM	Assumption-Lean Analysis of Cluster Randomized Trials in Infectious Diseases for Intent-to-Treat Effects and Network Effects Presentation Chan Park, University of Wisconsin-Madison; Hyunseung Kang, University of Wisconsin-Madison
4:55 PM	Nonparametric Dynamic Treatment Regimes for Survival Outcomes Presentation Hunyong Cho, University of North Carolina at Chapel Hill; Shannon T. Holloway, North Carolina State University; Michael Kosorok, University of North Carolina at Chapel Hill
5:15 PM	Floor Discussion

325 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Machine Learning Methods for Better-Informed Decision-Making in Heath Care — Invited Papers
Health Policy Statistics Section, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Jiwei Zhao, University of Wisconsin-Madison
Chair(s): Gen Li, University of Michigan
10:05 AM	Multiple Instance Learning with Distributional Data: Application to Early-Stage Breast Cancer Diagnosis Menggang Yu, University of Wisconsin
10:30 AM	High-Dimensional Directional Brain Network Analysis for Focal Epileptic Seizures Tingting Zhang, University of Pittsburgh
10:55 AM	Predicting the Number of Future Events for Time-to-Event Data Qinglong Tian, Iowa State University
11:20 AM	Balance Competing Outcomes in Dynamic Treatment Regime Estimation Michael Kosorok, University of North Carolina at Chapel Hill; Siyeon Kim, University of North Carolina
11:45 AM	Floor Discussion

334 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Functional and Geometric Approaches for Imaging Data — Invited Papers
Section on Statistics in Imaging, ENAR, Biometrics Section
Organizer(s): Shariq Mohammed, University of Michigan
Chair(s): Veerabhadran Baladandayuthapani, University of Michigan
10:05 AM	Machine Learning Frameworks for Association Mapping with 3D Shapes and High-Resolution Imaging Lorin Crawford, Microsoft Research
10:30 AM	Tumor Radiogenomics with Bayesian Layered Variable Selection Shariq Mohammed, University of Michigan; Sebastian Kurtek, The Ohio State University; Karthik Bharath, University of Nottingham; Arvind Rao, University of Michigan; Veerabhadran Baladandayuthapani, University of Michigan
10:55 AM	Simultaneous Registration and Estimation of Fractional Anisotropy Profiles from Fragmented and Noisy Observations Sebastian Kurtek, The Ohio State University; James Matuk, Department of Statistics, The Ohio State University; Oksana Chkrebtii, The Ohio State University; Karthik Bharath, University of Nottingham
11:20 AM	Learning Temporal Evolution of Spatial Dependence with Non-separable, Non-stationary Gaussian Process Models Shiwei Lan, Arizona State University
11:45 AM	Floor Discussion

335 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
COVID-19 Stories: Voices from the Fields — Invited Papers
Caucus for Women in Statistics, Korean International Statistical Society, Biometrics Section
Organizer(s): Dong-Yun Kim, National Institutes of Health
Chair(s): Dong-Yun Kim, National Institutes of Health
10:05 AM	Facilitating a Harmonized Evaluation and Comparison of COVID-19 Vaccines Presentation Devan V Mehrotra, Merck & Co., Inc.; Jonathan V Hartzel, Merck & Co., Inc.
10:30 AM	Biostatistical Challenges During the COVID-19 Crisis in NYC Mimi Kim, Albert Einstein College of Medicine; Usha Govindarajulu, Ichan School of Medicine at Mount Sinai; Yifei Sun, Columbia Mailman School of Public Health
10:55 AM	Public-Private Partnership Tackles COVID-19: Louisiana's Data Story Lee Mendoza, Louisiana Department of Health - Office of Public Health; Jay Besse, Louisiana Dept. of Health/Office of Public Health
11:20 AM	Issues Arising from COVID-19 Treatment Trials Michael Proschan, NIH
11:45 AM	Floor Discussion

338 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Advice for Junior Researchers on How to Become a Better Mentor and Lead a Research Group — Invited Panel
ENAR, Biometrics Section, Committee on Career Development
Organizer(s): Joseph Antonelli, University of Florida
Chair(s): Naomi Brownstein, Moffitt Cancer Center
10:05 AM	Advice for Junior Researchers on How to Become a Better Mentor and Lead a Research Group
Panelists:	Brian Caffo, Johns Hopkins University Susan Paddock, NORC at the University of Chicago Paul S. Albert, National Cancer Institute Brisa Sanchez, Drexel University
11:40 AM	Floor Discussion

350 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Bayesian Structured Variable Selection — Topic-Contributed Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Mahlet G Tadesse, Georgetown University
Chair(s): Mahlet G Tadesse, Georgetown University
10:05 AM	Generalized Structured Shrinkage Priors Using Correlated Scales Maryclare Griffin, University of Massachusetts Amherst
10:25 AM	Global-Local Shrinkage Prior for Variable Selection in Graph-Structured Models Marie Denis, CIRAD; Mahlet G Tadesse, Georgetown University
10:45 AM	Functional Integrative Bayesian Analysis of High-Dimensional Multiplatform Genetic Data (Functional IBAG) Presentation Rupam Bhattacharyya, University of Michigan; Nicholas Henderson, University of Michigan; Veerabhadran Baladandayuthapani, University of Michigan
11:05 AM	Bayesian Varying Coefficient Model with Selection Frédéric Mortier, CIRAD, UPR Forêts et Sociétés, F-34398 Montpellier, France; Université de Montpellier, F-3
11:25 AM	The Dynamic Triple Gamma Prior Peter Knaus, Vienna University of Economics and Business
11:45 AM	Floor Discussion

351 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Statistical Modeling in Pre-Clinical Drug Proarrhythmic Assessment — Topic-Contributed Panel
Biopharmaceutical Section, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Dalong Huang, FDA
Chair(s): Dalong Huang, FDA
10:05 AM	Statistical Modeling in Pre-Clinical Drug Proarrhythmic Assessment
Panelists:	Yu-yi Hsu, FDA/CDER Nan Xi, UCLA
11:40 AM	Floor Discussion

357 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Cross-Cutting Research in Causal Inference and Survival Analysis — Invited Papers
Section on Statistics in Epidemiology, Lifetime Data Science Section, Biometrics Section
Organizer(s): Usha Govindarajulu, Ichan School of Medicine at Mount Sinai
Chair(s): Usha Govindarajulu, Ichan School of Medicine at Mount Sinai
12:05 PM	Bayesian machine learning for causal inference with multiple treatments and multilevel survival data Liangyuan Hu, Icahn School of Medicine; Jiayi Ji, Icahn School of Medicine; Joseph Hogan, Brown University
12:30 PM	A Common Language Effect Size Derived from Marginalizing the Cox Model: Estimating Causal Effects from Observational Studies Pablo Martinez Camblor, Geisel School of Medicine at Dartmouth
12:55 PM	Aiding Causal Inference Through Parameter Expansion of the Cox Model to Allow Effects to Vary with Follow-Up James O'Malley, Dartmouth College; Todd MacKenzie, Dartmouth College; Pablo Martinez Camblor, Geisel School of Medicine at Dartmouth
1:20 PM	Discussant: Miguel Hernan, Harvard School of Public Heatlh
1:40 PM	Floor Discussion

360 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Advances and Challenges in Recent Diagnostic Research — Invited Papers
Section on Medical Devices and Diagnostics, Biometrics Section, Health Policy Statistics Section, Caucus for Women in Statistics
Organizer(s): Zheyu Wang, Johns Hopkins
Chair(s): Yuxin Zhu, Johns Hopkins
12:05 PM	Assessing Misdiagnosis-Related Harm with Electronic Medical Records Yuxin Zhu, Johns Hopkins; Zheyu Wang, Johns Hopkins
12:30 PM	Strategies for Validating Biomarkers Using Data from a Reference Set Ying Huang, Fred Hutchinson Cancer Research Center; Lu Wang, Peking University; Ziding Feng, Fred Hutchinson Cancer Research Center
12:55 PM	Longitudinal Modeling of Disease Progression Biomarkers in the Latent Disease Timescale: Example of Alzheimer’s Disease and Related Disorders Cécile Proust-Lima, University of Bordeaux; Jérémie Lespinasse, Univ. Bordeaux, INSERM, BPH; Carole Dufouil, Univ. Bordeaux, INSERM, BPH
1:20 PM	Correcting for Imperfect Gold Standard and Verification Bias in Estimating Accuracy of Diagnostic Tests: An Application on COVID-19 Diagnosis with CT and RT-PCR Xiao-Hua Zhou, Peking University
1:45 PM	Floor Discussion

366 *	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Trial Design and Analysis Methods for COVID-19 Treatment/Prevention — Invited Papers
ENAR, Biopharmaceutical Section, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Michael Rosenblum, Johns Hopkins University
Chair(s): Bingkai Wang, Johns Hopkins Bloomberg School of Public Health
12:05 PM	Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment for Binary, Ordinal, or Time-to-Event Outcomes David Benkeser, Emory University; Ivan Diaz, Weill Cornell Medical College; Alex Luedtke, University of Washington; Daniel Scharfstein, University of Utah; Jodi Seagal, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University
12:30 PM	Clinical Trials Impacted by the COVID-19 Pandemic: Adaptive Designs to the Rescue? Cornelia Kunz, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany ; Silke Jörgens, Janssen-Cilag GmbH, Neuss, Germany ; Frank Bretz, Novartis AG; Nigel Stallard, The University of Warwick, Coventry, UK; Kelly Van Lancker, Ghent University, Belgium; Dong Xi, Novartis Pharmaceuticals, East Hanover, New Jersey, USA ; Sarah Zohar, Sorbonne Université, Paris, France; Christoph Gerlinger, Statistics and Data Insights, Bayer AG, Berlin, Germany ; Tim Friede, University Medical Center Göttingen, Göttingen, Germany
12:55 PM	Challenges in clinical trial design during a pandemic: Experiences from the UK and beyond Thomas Jaki, University of Cambridge
1:20 PM	Discussant: Laura Lee Johnson, Center for Drug Evaluation and Research, U.S. FDA
1:40 PM	Floor Discussion

373 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Analysis of Duration Data, with Applications to the COVID-19 Pandemic — Topic-Contributed Papers
IMS, Biometrics Section, Biopharmaceutical Section
Organizer(s): Piet Groeneboom, Delft University
Chair(s): Geurt Jongbloed, Delft Institute of Applied Mathematics
12:05 PM	The Generation Time Distribution: Problems with Estimating It and Consequences Thereof Tom Britton, Stockholm University
12:25 PM	Estimating the Generation Time and Relative Infectiousness from Contact Tracing Data Hiroshi Nishiura, Kyoto University School of Public Health
12:45 PM	Estimation of Incubation Time and Latency Time Distribution of SARS-CoV-2 Presentation Ronald Geskus, Oxford University Clinical Research Unit
1:05 PM	Estimation in the singly and doubly interval censored model Presentation Piet Groeneboom, Delft University
1:25 PM	Floor Discussion

374 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Statistical Approaches for Evidence Integration and Considerations to Communication in Product Labeling — Topic-Contributed Papers
Biopharmaceutical Section, Health Policy Statistics Section, Biometrics Section
Organizer(s): Jennifer Clark, FDA
Chair(s): Ross Bray, Eli Lilly and Company
12:05 PM	Unified Framework of Meta-Analysis, Composite Likelihoods, and Bayesian Methods for Evidence Integration in Pediatric Extrapolation Development Archetypes Margaret Gamalo-Siebers, Pfizer Inc.; Junjing Lin, Takeda Pharmaceuticals
12:25 PM	Using Robust Bayesian Priors to Borrow Information from Historical Adult Trials for a Clinical Trial in Pediatric Multiple Sclerosis Marius Thomas, Novartis; David Ohlssen, Novartis; Heinz Schmidli, Novartis; Dieter Haering, Novartis
12:45 PM	Extrapolating Adult Efficacy Data to Pediatric Populations via Bayesian Hierarchical Models Benjamin R Saville, Berry Consultants; Kert Viele, Berry Consultants
1:05 PM	Partial Extrapolating of Efficacy from Adult to Pediatrics: A Case Study in Systemic Lupus Erythematosus Juan Jose Abellan, GSK
1:25 PM	Discussant: James Travis, FDA
1:45 PM	Floor Discussion

384	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Next-Generation Sequencing and High-Dimensional Data — Contributed Speed
Biometrics Section, Text Analysis Interest Group
Chair(s): Arielle Kimberly Marks-Anglin, University of Pennsylvania
12:05 PM	Efficient Two-Stage Analysis Approaches for Complex Trait Association with Arbitrary Depth Sequencing Data Zheng Xu, Wright State University; Song Yan, University of North Carolina at Chapel Hill; Shuai Yuan, Marinus Pharmaceuticals; Zifang Guo, Merck & Co.; Yun Li, UNC-Chapel Hill
12:10 PM	Statistical Inference from Stem Cell Barcoding Data Using Adaptive Approximate Bayesian Computation Siyi Chen, Rice University; Marek Kimmel, Rice University; Katherine King, Baylor College of Medicine
12:15 PM	A Reduced Rank Regression Model for Microbiome Data Integration Ying Dai, Oregon State University; Duo Jiang, Oregon State University
12:20 PM	SUITOR: Selecting the Number of Mutational Signatures Through Cross-Validation DongHyuk Lee, National Cancer Institute; Difei Wang, National Cancer Institute; Xiaohong R. Yang, National Cancer Institute; Jianxin Shi, National Cancer Institute/National Institutes of Health; Maria T. Landi, National Cancer Institute; Bin Zhu, National Cancer Institute
12:25 PM	Copula Models for Temporally Conserved Microbial Interactions Rebecca A Deek, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
12:30 PM	An Approach to Summarize Biological Networks Thao Vu, University of Colorado, Anschutz Medical Campus
12:35 PM	Detecting Differential Expressed/Spliced Transcripts That Are Associated with Continuous Clinical Covariates, Including Survival Time Huining Kang, Univeristy of New Mexico; Xichen Li, University of New Mexico
12:40 PM	Time-Varying Graphical Models for Microbiome Data Sarah Robinson, Rice University; Christine B. Peterson, The University of Texas MD Anderson Cancer Center
12:45 PM	Enhancing Familial Relationship Inference in Admixed Populations Daniel Yorgov, Purdue Fort Wayne
12:50 PM	Backward Selection for RNA-Seq Differential Expression Analysis Using Pseudo-variables Yet Nguyen, Old Dominion University; Dan Nettleton, Iowa State University
1:00 PM	Tumor classification and survival estimation using metabolic activity scores from RNA sequencing data Jack Goodman, Frank H. Netter SOM; Marcus Alexander, Yale University
1:05 PM	Analyzing Dose Response Effects on Single Nuclei Gene Expression Data Satabdi Saha, Michigan State University; Samiran Sinha, Texas A&M University; Taps Maiti, Michigan State University; Rance Nault, Michigan State University; Sudin Bhattacharya, Michigan State University; Timothy Zacharewski, Michigan State University
1:10 PM	Statistical Methods for Mass Spectrometry Data SO YOUNG RYU, University of Nevada Reno; Sijia Qiu, University of Nevada Reno
1:15 PM	Logistic Tree Gaussian Processes (LoTGaP) for the Microbiome Morris Greenberg, Duke University; Li Ma, Duke University; Zhuoqun Wang, Duke University; Pulong Ma, Duke University / SAMSI; Anthony Sung, Duke University Hospital
1:20 PM	High-Sensitivity Pattern Discovery in Large, Paired Multi-Omic Data Sets Andrew Ghazi, Broad Institute; Kathleen Sucipto, Harvard TH Chan School of Public Health; Gholamali Rahnavard, Harvard TH Chan School of Public Health; Eric Franzosa, Harvard TH Chan School of Public Health; Lauren McIver, Harvard TH Chan School of Public Health; Jason Lloyd-Price, Harvard TH Chan School of Public Health; Emma Schwager, Harvard TH Chan School of Public Health; George Weingart, Harvard TH Chan School of Public Health; Yo Sup Moon, Harvard TH Chan School of Public Health; Xochitl Morgan, University of Otago; Levi Waldron, CUNY Graduate school Public Health and Health Policy; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
1:25 PM	Efficient Estimation of the Maximal Association Between Multiple Predictors and a Survival Outcome Tzu-Jung Huang, University of Washington; Alex Luedtke, University of Washington; Ian McKeague, Columbia University
1:30 PM	Extracting Actigraphy-Based Walking Features with Structured Functional Principal Components Verena Werkmann, Indiana University; Jaroslaw Harezlak, Indiana University; Nancy W. Glynn, University of Pittsburgh
1:35 PM	A Nonparametric Empirical Bayes Approach to Covariance Matrix Estimation Presentation Huiqin Xin, Department of Statistics, University of Illinois at Urbana-Champaign; Sihai Dave Zhao, Department of Statistics, University of Illinois at Urbana-Champaign
1:40 PM	Variable Selection in Functional Logistic Regression Using Group LASSO James Cameron, George Mason University; Pramita Bagchi, George Mason University
1:45 PM	Graph-Based Trajectory Visualization for Text Mining of COVID-19 Biomedical Literature Yeseul Jeon, Yonsei University of Applied Statistics; Dongjun Chung, Ohio State University; Jina Park, Yonsei University of Applied Statistics; Ickhoon Jin, Yonsei university

390 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Scalable Bayes for Large Multi-Omics Data Integration and Inference — Invited Papers
Section on Bayesian Statistical Science, Biometrics Section, Biopharmaceutical Section
Organizer(s): Himel Mallick, Merck Research Laboratories
Chair(s): Richard Baumgartner, Merck Research Laboratories
2:05 PM	Bayesian Integrative Approaches to Enable Precision Medicine Veerabhadran Baladandayuthapani, University of Michigan
2:30 PM	Models for Microbial Community Multi-Omics Curtis Huttenhower, Harvard T.H. Chan School of Public Health
2:55 PM	Integrating Gene Networks and Multi-Omics Data to Understand Genetic Mechanisms of Human Complex Diseases Bingshan Li, Vanderbilt University
3:20 PM	Scalable Bayesian Inference of Networks and Covariate Effects Christine B. Peterson, The University of Texas MD Anderson Cancer Center
3:45 PM	Floor Discussion

391 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Causal Inference Under Interference — Invited Papers
Section on Statistics in Epidemiology, Social Statistics Section, Biometrics Section
Organizer(s): Zhichao Jiang, University of Massachusetts Amherst
Chair(s): Michael Hudgens, University of North Carolina
2:05 PM	Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments Zhichao Jiang, University of Massachusetts Amherst; Kosuke Imai, Harvard University
2:30 PM	Heterogenous Causal Effects Under Network Interference Laura Forastiere, Yale University; Costanza Tortù, Ecole Polytechnique
3:20 PM	Discussant: Cyrus Samii, New York University
3:45 PM	Floor Discussion

406 !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Novel Approaches for Handling Complex Data in Treatment Diagnosis and Evaluation — Topic-Contributed Papers
Biometrics Section, Mental Health Statistics Section, Biopharmaceutical Section
Organizer(s): Thaddeus Tarpey, NYU
Chair(s): Hyung Park, NYU
2:05 PM	An Imputation Approach for Estimating Confidence in Personalized Treatment Decisions Nina Orwitz, NYU Grossman School of Medicine; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, NYU
2:25 PM	Prospective Individual Patient Data Meta-Analysis: Evaluating Convalescent Plasma for COVID-19 Danni Wu, NYU Grossman School of Medicine; Eva Petkova, New York University School of Medicine; Keith Goldfeld, NYU Grossman School of Medicine; Thaddeus Tarpey, NYU
2:45 PM	Extracting Scalar Measures from Functional Data with Missingness Lanqiu Yao, New York University; Thaddeus Tarpey, NYU
3:05 PM	Optimal Linear Transformations of Functional Data for Clustering Methods Hanchao Zhang, New York University Grossman School of Medicine
3:25 PM	Discussant: Thaddeus Tarpey, NYU
3:45 PM	Floor Discussion

409 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Estimands in Oncology: Papers from an Industry Working Group — Topic-Contributed Papers
Biopharmaceutical Section, Lifetime Data Science Section, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Jonathan Siegel, Bayer US
Chair(s): Jonathan Siegel, Bayer US
2:05 PM	Utilizing Surrogate Endpoints in Adaptive Designs with Delayed Treatment Effect Jianchang Lin, Takeda Pharmaceuticals; Qing Li, Takeda Pharmaceuticals; Mengya Liu, Takeda Pharmaceuticals; Liwen Wu, University of Pittsburgh
2:25 PM	Use of Estimand Framework in Hematology Oncology Trials: Practical Implementation Presentation Steven C Sun, Janssen; Satrajit Roychoudhury, Pfizer Inc.
2:45 PM	Logic-Respecting Efficacy Measures in the Presence of Prognostic or Predictive Biomarker Subgroups Yi Liu, Nektar Therapeutic
3:05 PM	Treatment Switching and Estimands for Overall Survival in Oncology Clinical Trials: Issues and Controversies Natalia Kan-Dobrosky, PPD Inc
3:25 PM	Discussant: Satrajit Roychoudhury, Pfizer Inc.
3:45 PM	Floor Discussion

412	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
The People, Project, and Particulars of Joining Biopharma as a Biostatistician — Topic-Contributed Panel
Biopharmaceutical Section, Biometrics Section, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Glen Laird, Vertex Pharmaceuticals
Chair(s): Glen Laird, Vertex Pharmaceuticals
2:05 PM	The People, Projects, and Particulars of Joining Biopharma as a Biostatistician
Panelists:	Bo Yang, Vertex Pharmaceuticals Prabhu Bhagavatheeswaran, Daichi Sankyo Darcy Hille, Merck Ina Jazic, Vertex Pharmaceuticals
3:45 PM	Floor Discussion

414	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Risk Modeling and Regression Techniques — Contributed Speed
Biometrics Section
Chair(s): Yeongjin Gwon, University of Nebraska Medical Center
2:05 PM	Going Against the Stream: Anomaly Detection in Spotify Data to Evaluate Societal Resilience Courtney Paulson, Southern Utah University; G.T. Ozer, University of New Hampshire; Di Hu, University of Maryland
2:10 PM	Advanced Methods for Improved Prediction of Opioid-Related Overdose and Suicide Events from Administrative Health Care Data Ralph Ward, Ralph H Johnson VAMC Charleston SC; Erin Weeda, Ralph H Johnson VAMC Charleston SC; David J Taber, Ralph H Johnson VAMC Charleston SC; Robert Neal Axon, Ralph H Johnson VAMC Charleston SC; Mulugeta Gebregziabher, MUSC
2:15 PM	Cluster-Wise Variational Approach to Variable Selection Liangrui Sun, University of Nebraska - Lincoln; Qi Zhang, University of New Hampshire
2:20 PM	Association between SARS-CoV-2 IgG antibody detection levels and time since viral exposure in humans Presentation Hayden Lee Smith, UnityPoint Health - Des Moines; Jacob Bliss, UnityPoint Health - Des Moines; Katherine Sittig, UnityPoint Health - Des Moines
2:25 PM	Censored Broken Adaptive Ridge Regression in High-Dimension Jeongjin Lee, Korea University; Taehwa Choi, Department of Statistics, Korea University; Sangbum Choi, Department of Statistics, Korea University
2:30 PM	Identification of Subgroups Using Multivariate Longitudinal Data: A Comparison of Model-Based Clustering, K-Means Clustering, and Deep Learning Approaches Benjamin E Leiby, Thomas Jefferson University; Jobayer Hossain, Nemours Children's Health System
2:35 PM	How to Make Better Diagnostic Tests: Comparing Optimal Youden and Euclidean Cut-Points William Barbeau, University of Utah; Fares Qeadan, University of Utah
2:40 PM	Quantifying the Harm Caused by Seizure-like Brain Activity in Critically Ill Patients using MALTS Kentaro Hoffman, University of North Carolina-Chapel Hill; Harsh Parikh, Duke University; Cynthia Rudin, Duke University; Haoqi Sun, Massachusetts General Hosptial; Brandon Westover, Massachusetts General Hospital
2:45 PM	Prediction-Driven Pooled Testing Methods: Application to HIV Treatment Monitoring in Rakai, Uganda Adam Brand, Karolinska Institutet
2:50 PM	An Improved Integral-Typed Goodness-of-Fit Test Under Crossing Survival Functions Hsin-wen Chang, Academia Sinica
3:00 PM	A Novel Graphical Evaluation of Agreement Jongphil Kim, Moffitt Cancer Center; Ji-Hyun Lee, University of Florida
3:05 PM	Efficient Data Fusion Sijia Li, University of Washington
3:10 PM	Change-Points Estimation in Generalized Linear Spline Models Presentation Guangyu Yang, University of Michigan; Baqun Zhang, Shanghai University of Finance and Economics; Min Zhang, University of Michigan
3:15 PM	Group-Based Trajectory Models for Change Points: Application to Radiotherapy Schedule for Breast Cancer Depeng Jiang, University of Manitoba; Chendong Li, Nanjing Forestry University; Jianwei Gou, Nanjing Forestry University; Yemao Xia, Nanjing Forestry University
3:20 PM	Joint Effect Selection in Generalized Linear Mixed Model Analysis Shou-En Lu, Rutgers School of Public Health and Cancer Institute of New Jersey; Sinae Kim, Bristol Myers Squibb - Global Biopharmaceutical Company; Jerry Q. Cheng, New York Institute of Technology; Changfa Lin, Artech
3:25 PM	Gaussian Process Regression and Classification Using International Classification of Disease Codes as Covariates Sanvesh Srivastava, University of Iowa; Stephanie Gilbertson-White, The University of Iowa; Nick Street, The University of Iowa; Xongyi Xu, The University of Iowa; Yunyi Li, University of Texas, Austin
3:30 PM	Analysis of Trinomial Responses in the Presence of Unequal Dispersions Shaymal Halder, University of Connecticut; Krishna Kanta Saha, Central CT State University
3:35 PM	Sensitivity and Uncertainty Analysis for Capture-Recapture Methods in Disease Surveillance Presentation Yuzi Zhang, Department of Biostatistics and Bioinformatics, RSPH of Emory University; Jiandong Chen, Department of Biostatistics and Bioinformatics, RSPH, Emory University; Lin Ge, Emory University; Lance Waller, Emory University; Robert H Lyles, Emory University

421 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Statistical Challenges Linked to Estimands of Interest: Leaving No Stone Unturned — Invited Papers
Biopharmaceutical Section, ENAR, Biometrics Section
Organizer(s): Pilar Lim, Janssen Research & Development, LLC; Elena Polverejan, Janssen Research & Development, LLC
Chair(s): Elena Polverejan, Janssen Research & Development, LLC
4:05 PM	The Only Missing Data Left in Town? Study Withdrawals and the Treatment Policy Approach Siying Sylvia Li, IQVIA; Michael O'Kelly, IQVIA
4:30 PM	The Role of Hypothetical Estimand Strategies in Clinical Trials Frank Bretz, Novartis AG; Mouna Akacha, Novartis
4:55 PM	Does This Treatment Cause That Outcome? Stephen J Ruberg, Analytix Thinking, LLC
5:20 PM	Discussant: H. M. James Hung, U.S. Food and Drug Administration (FDA)
5:45 PM	Floor Discussion

423 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Bayesian Microbiomics — Invited Papers
International Society for Bayesian Analysis (ISBA), Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Tony Pourmohamad, Genentech, Inc.
Chair(s): Tony Pourmohamad, Genentech, Inc.
4:05 PM	Bayesian Zero-Constrained Regression Modeling with Structured Prior for Microbiome Feature Selection Liangliang Zhang, The University of Texas MD Anderson Cancer Center; Yushu Shi, The University of Missouri Columbia; Kim-Anh Do, The University of Texas MD Anderson Cancer Center; Robert Jenq, The University of Texas MD Anderson Cancer Center; Christine B. Peterson, The University of Texas MD Anderson Cancer Center
4:25 PM	Logistic-tree Normal Model for Microbiome Compositions Li Ma, Duke University; Jialiang Mao, LinkedIn; Zhuoqun Wang, Duke University
4:45 PM	Bayesian Modeling of Metagenomic Sequencing Data for Differential Abundance Analysis Qiwei Li, The University of Texas at Dallas; Shuang Jiang, Southern Methodist University; Nicole De Nisco, The University of Texas at Dallas; Andrew Y. Koh, The University of Texas Southwestern Medical Center; Guanghua Xiao, The University of Texas Southwestern Medical Center; Xiaowei Zhan, The University of Texas Southwestern Medical Center
5:05 PM	Bayesian Variable Selection for High-Dimensional Rank Data Susheela Singh, Youtube; Brian Reich, North Carolina State University; Can Cui, North Carolina State University; Ana-Maria Staicu, North Carolina State University
5:25 PM	Discussant: Juhee Lee, University of California, Santa Cruz
5:45 PM	Floor Discussion

428 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Design Considerations for COVID-19 Prevention Studies — Invited Papers
Biometrics Section, Section on Statistics in Epidemiology, WNAR
Organizer(s): Sahar Z Zangeneh, Fred Hutchinson Cancer Research Center
Chair(s): Holly Janes, Fred Hutchinson Cancer Research Center
4:05 PM	Design of Non-Vaccine COVID-19 Prevention Studies Elizabeth Brown, Fred Hutchinson Cancer Research Center
4:30 PM	Design Considerations for COVID-19 Prevention Studies Sahar Z Zangeneh, Fred Hutchinson Cancer Research Center; Timothy Skalland, Fred Hutchinson Cancer Research Center; Krista Yuhas, Fred Hutchinson Cancer Research Center; Deborah Donnell, Fred Hutchinson Cancer Research Center
4:55 PM	Efficacy Comparison of COVID-19 Vaccine Candidates Alex Luedtke, University of Washington; Tzu-Jung Huang, University of Washington
5:20 PM	Discussant: Nicholas Jewell, University of California Berkely
5:45 PM	Floor Discussion

432 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Novel Statistical Methods for Microbiome Data Analysis — Topic-Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Xiang Zhan , Penn State University
Chair(s): Arun Srinivasan, Penn State University
4:05 PM	Controlled Microbiome Variable Selection Analysis Xiang Zhan , Penn State University; Arun Srinivasan, Penn State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
4:25 PM	Corncob: Statistical Modeling of Microbial Abundances and Dysbiosis with Beta-Binomial Regression Bryan D Martin, University of Washington; Daniela Witten, University of Washington; Amy D Willis, University of Washington
4:45 PM	Meta-Analysis of Microbiome Studies for Selecting Disease-Associated Microbial Signatures ZhengZheng Tang, University of Wisconsin-Madison
5:05 PM	Rarefaction-Based Extensions of the LDM and PERMANOVA for Testing Presence-Absence Associations in the Microbiome Yijuan Hu, Emory University; Andrea Lane, Emory University; Glen Satten, Emory University
5:25 PM	Dimension Reduction of Longitudinal Microbiome Data via Tensor Functional SVD Pixu Shi, Duke University; Rungang Han, University of Wisconsin-Madison; Anru Zhang, Duke University
5:45 PM	Floor Discussion

436 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Network Inference for Omics and Imaging Data — Topic-Contributed Papers
Section on Statistical Learning and Data Science, WNAR, Biometrics Section
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Jianhua Hu, Columbia University
4:05 PM	Modern Machine Learning Techniques in Biology Johannes Lederer, Ruhr-University Bochum
4:25 PM	Generalized Tensor Canonical Correlation Analysis for Network Inference Using Multi-Omics Data Katerina Kechris, University of Colorado Anschutz Medical Campus; Weixuan Liu, University of Colorado Anschutz Medical Campus; Farnoush Banaei-Kashani, University of Colorado Denver
4:45 PM	Prediction with Network Valued Covariates Suprateek Kundu, Emory University
5:05 PM	Principal Regression for High-Dimensional Covariance Matrices Yi Zhao, Indiana University; Brian Caffo, Johns Hopkins University; Xi Luo, The University of Texas Health Science Center at Houston
5:25 PM	Data Harmonization Using Polycistronic Clusters for MicroRNA Sequencing Data Li-Xuan Qin, Memorial Sloan Kettering Cancer Center; Yannick Düren, Ruhr-University Bochum; Johannes Lederer, Ruhr-University Bochum
5:45 PM	Floor Discussion

438 !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Modern Statistical Learning Methods for High-Dimensional Biomedical Data: Treatment Heterogeneity and Data Integration — Topic-Contributed Papers
Biometrics Section, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Lu Xia, University of Washington, Seattle
Chair(s): Lu Xia, University of Washington, Seattle
4:05 PM	Cancer Prediction by Detecting and Integrating Connectomic Networks and Marginally Weak Signals Yanming Li, University of Kansas Medical Center; Fengwei Yang, University of Kansas Medical Center; Xueping Zhou, University of Pittsburgh; Devin C Koestler, University of Kansas Medical Center; Wei Chen, University of Pittsburgh
4:25 PM	Sharp Inference on Selected Subgroups in Observational Studies Xinzhou Guo, Harvard University; Waverly Wei, University of California, Berkeley; Chong Wu, Florida State University; Jingshen Wang, UC Berkeley
4:45 PM	Efficient Debiased Estimation of Heterogeneous Treatment Effect in Observational Studies Waverly Wei, University of California, Berkeley; Chong Wu, Florida State University; Jingshen Wang, UC Berkeley
5:05 PM	Floor Discussion

JSM 2021 Online Program

Activity Details

American Statistical Association