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

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* = applied session ! = JSM meeting theme

Activity Details

9 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
COVID-19 and Survey Sampling: Challenges and Opportunities — Invited Papers
Survey Research Methods Section, Section on Statistics in Epidemiology
Organizer(s): Ananda Sen, University of Michigan ; Yajuan Shi, University of Michigan
Chair(s): Ananda Sen, University of Michigan
1:35 PM	Measures of Departure from Probability Sampling Roderick Joseph Little, University of Michigan
2:00 PM	Bayesian Analysis of Tests with Unknown Specificity and Sensitivity Andrew Gelman, Columbia University; Bob Carpenter, Flatiron Institute
2:25 PM	A Design for Hospital-Based Coronavirus Tracking Yajuan Si, University of Michigan; Len Covello, Community Hospital; Andrew Gelman, Columbia University; Siquan Wang, Columbia University
2:50 PM	Using the Facebook Platform to Create a Global Symptom and Pandemic Effects Monitoring Resource Frauke Kreuter, University of Maryland and University of Mannheim; Neta Barkay, Facebook Research; Curtiss Cobb, Facebook Research; Roee Eilat, Facebook Research; Tal Galili, Facebook Research; Daniel Haimovich, Facebook Research; Sarah LaRocca, Facebook Research; Katherine Morris, Facebook Research; Tal Sarig, Facebook Research
3:15 PM	Floor Discussion

12 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
High-Dimensional Parameter Learning on Spatio-Temporal Hidden Markov Models and Its Applications in Epidemiology — Invited Papers
IMS, Section on Statistics in Epidemiology, General Methodology
Organizer(s): Ning Ning, University of Michigan, Ann Arbor
Chair(s): Ning Ning, University of Michigan, Ann Arbor
1:35 PM	Modeling Epidemic Control Using Markovian and Non-Markovian Partially Observed Systems Ya'acov Ritov, University of Michigan; Hamid Eftekhari, University of Michigan; Debarghya Mukherjee, University of MIchigan; Moulinath Banerjee, University of Michigan
1:50 PM	Bagged filters for inference on metapopulation dynamics, with epidemiological applications Edward L Ionides, University of Michigan, Ann Arbor
2:05 PM	A Bayesian Spatio-Temporal Approach for Estimating County-Level Opioid Misuse Rates in Ohio Staci Hepler, Wake Forest University; David Kline, The Ohio State University; Lance Waller, Emory University
2:20 PM	An Approximate Joint Distribution for Stochastic Differential Equations, with Application to Modeling the COVID-19 Epidemic in Pennsylvania, Rhode Island, and Massachusetts Ephraim Hanks, Penn State University
2:35 PM	Understanding Complex and Fine-Scale Animal Behavior with Hidden Markov Models Marie Auger-Methe, The University of British Columbia; Ron R Togunov, The University of British Columbia; Nancy Heckman, The University of British Columbia; Evan Sidrow, The University of British Columbia
2:50 PM	Partially Observed Time Series Models Using Long Short-Term Memory Models Yves Atchade, Boston University
3:05 PM	Floor Discussion

21 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Bayesian Disease Mapping and Spatial Epidemiology: New Directions and New Frontiers — Topic-Contributed Papers
Section on Statistics in Epidemiology, SSC (Statistical Society of Canada), International Society for Bayesian Analysis (ISBA)
Organizer(s): Ying C MacNab, University of British Columbia
Chair(s): Andrew Booth Lawson, Medical University of South Carolina
1:35 PM	Graph-Based Multivariate Conditional Autoregressive Models Presentation Ye Liang, Oklahoma State University
1:55 PM	Dealing with Large Data Problems in Spatial Disease Mapping Presentation Maria Dolores Ugarte, Universidad Publica de Navarra; Aritz Adin , Universidad Publica de Navarra; Erick Orozco-Acosta, Universidad Publica de Navarra
2:15 PM	Generalized Propensity Score Approach to Causal Inference with Spatial Interference Andrew Giffin, North Carolina State University; Brian Reich, North Carolina State University; Shu Yang, North Carolina State University; Ana Rappold, Environmental Protection Agency
2:35 PM	Novel Bayesian Metrics for Small Area Health Surveillance Joanne Kim, Medical University of South Carolina; Andrew Booth Lawson, Medical University of South Carolina
2:55 PM	On Multidimensional Markov Random Fields for Latent Spatial Components Analysis and Dimension Reduction Ying C MacNab, University of British Columbia
3:15 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

43 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Distributed Regressions in Real-World Data — Invited Papers
Section on Statistics in Epidemiology, ENAR, Section for Statistical Programmers and Analysts
Organizer(s): Yong Chen, University of Pennsylvania
Chair(s): Jiayi Tong, University of Pennsylvania
3:35 PM	Distributed Privacy-Preserving Estimation of Time-to-Event Models Chao-Kang Jason Liang, National Institute of Allergy and Infectious Diseases
4:00 PM	Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts Martijn Schuemie, Janssen R&D
4:25 PM	Statistical Inferences with Distributed Estimators Cheng Yong Tang, Temple University
4:50 PM	Distributed Regression: Estimation, Prediction, and Inference Yong Chen, University of Pennsylvania
5:15 PM	Floor Discussion

46 * !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Challenges and Breakthroughs in Diabetes and Obesity Research in the Big Data Era — Topic-Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology
Organizer(s): Xiang Liu, University of South Florida
Chair(s): Kristian F. Lynch, University of South Florida
3:35 PM	Longitudinal Plasma Metabolome and Circulating Vitamins Stratified Onset Age of an Initial Islet Autoantibody and Progression to Type 1 Diabetes: The TEDDY Study Qian Li, St. Jude Children’s Research Hospital; Xiang Liu, University of South Florida; Jimin Yang, University of South Florida; Iris Erlund, Finnish Institute for Health and Welfare; Åke Lernmark, Lund University; William Hagopian, Pacific Northwest Research Institute; Marian Rewers, University of Colorado Denver; Jin-Xiong She, Augusta University; Jorma Toppari, University of Turku; Anette-G Ziegler, Technical University of Munich; Beena Akolkar, NIDDK/NIH; Jeffrey Krischer, University of South Florida
3:55 PM	Microbial Metabolites and Microbiome in Vitamin D/Vitamin D Receptor Deficiency Are Associated with Obesity Yinglin Xia, University of Illinois at Chicago; Jun Sun, University of Illinois at Chicago
4:15 PM	Prioritization of Causal Genes and Variants in Type 1 Diabetes Using Chromatin Accessibility and Gene Expression Profiling Catherine C Robertson, University of Virginia; Suna Onengut-Gumuscu, University of Virginia; Patrick Concannon, University of Florida; Wei-Min Chen, University of Virginia; Stephen S Rich, University of Virginia
4:35 PM	Bayesian Semiparametric Joint Models to Study Weight and Islet Autoimmunity in Subjects at High Risk for Type 1 Diabetes Xiang Liu, University of South Florida; Roy Tamura, University of South Florida; Kendra Vehik, University of South Florida; Jeffrey Krischer, University of South Florida
4:55 PM	A Bayesian Framework for Estimating the Risk Ratio of Hospitalization for People with Comorbidity Infected by the SARS-CoV-2 Virus Qunfeng Dong, Loyola University Chicago; Xiang Gao, Loyola University Chicago
5:15 PM	Floor Discussion

56	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Causal Inference — Contributed Speed
Section on Statistics in Epidemiology
Chair(s): Xiao Fang, Merck
3:35 PM	Valid Instrumental Variables Selection Methods Using Auxiliary Variable and Constructing Efficient Estimator Shunichiro Orihara, Yokohama City University; Masataka Taguri, Yokohama City University
3:40 PM	Mediation Analysis Using Semiparametric Shape-Restricted Regression Spline Qing Yin, University of Pittsburgh; Shyamal Peddada, The Eunice Kennedy Shriver National Institute of Child Health and Human Development; Jong-Hyeon Jeong, University of Pittsburgh; Jennifer Joan Adibi, University of Pittsburgh
3:45 PM	Using Randomized Rounding of Linear Programs to Obtain Unweighted Natural Strata That Balance Many Covariates Katherine Brumberg, Wharton School, University of Pennsylvania; Dylan S. Small, University of Pennsylvania; Paul R Rosenbaum, Wharton School, University of Pennsylvania
3:50 PM	Bayesian Multiply Robust Estimation for Causal Inference Benjamin Gochanour, University of Oklahoma Health Sciences Center; Sixia Chen, University of Oklahoma Health Sciences Center; Laura Beebe, University of Oklahoma Health Sciences Center; David Haziza, University of Ottawa
3:55 PM	Evaluating the Overlap Weighting Method for Balancing Covariates Using Real and Simulated Claims Data Wen Wan, The University of Chicago; Manu Murugesan, The University of Chicago; Robert Nocon, Kaiser Permanente Bernard J. Tyson School of Medicine; Josh Bolton, University of Maryland, Baltimore County ; Tamara Konetzka, The University of Chicago; Marshall Chin, The University of Chicago; Elbert Huang, The University of Chicago
4:00 PM	An Evaluation of a Residual Confounding Quantity of Propensity Score Stratification. Yoko Sato, Shizuoka Graduate University of Public Health; Eiji Nakatani, Shizuoka Graduate University of Public Health; Seiichiro Yamamoto, Shizuoka Graduate University of Public Health
4:05 PM	Simultaneous Adjustment of Uncontrolled Confounding, Selection Bias, and Exposure Misclassification in Multiple-Bias Modeling Paul Brendel, Verana Health; Aracelis Torres, Verana Health; Onyebuchi Arah, UCLA
4:10 PM	Causal Inference Methods for Measures of Health Disparities Tengfei Li, Georgetown University; George Luta, Georgetown University
4:15 PM	Semiparametric Estimation of Treatment Effects When Outcome Is Missing Not at Random Shintaro Yoneyama, Keio University, Graduate School of Science and Technology; Mihoko Minami, Keio University, Department of Mathematics
4:20 PM	Causal Inference with Trajectory Data Jinghao Sun, Yale University; Forrest W. Crawford, Yale University
4:30 PM	Robust Mendelian Randomization in the Presence of Residual Population Stratification, Batch Effects, and Horizontal Pleiotropy Carlos Cinelli, UCLA; Nathan LaPierre, UCLA; Brian Hill, UCLA; Sriram Sankararaman, UCLA; Eleazar Eskin, UCLA
4:35 PM	Efficient Inverse Probability-Weighted Estimation of Longitudinal Causal Effects in Quasi-Experimental Studies Nima Hejazi, University of California, Berkeley; Mark Van Der Laan, University of California; Sathya Anand, Netflix; Wenjing Zheng, Netflix
4:40 PM	Estimation of ATO Achieving Covariate Balancing with Generalized Empirical Likelihood Ryo Otani, Graduate of Culture and Information Science, Doshisha University; Hiroshi Yadohisa, Doshisha University
4:45 PM	Doubly Robust Confidence Sequences for Sequential Causal Inference Ian Waudby-Smith, Carnegie Mellon University; David Arbour, Adobe Research; Ritwik Sinha, Adobe Research; Edward H Kennedy, Carnegie Mellon University; Aaditya K Ramdas, Carnegie Mellon University
4:50 PM	Testing for Joint Mediation Effects of Multiple Mediators Wei Hao, University of Michigan; Peter X.K. Song, University of Michigan
4:55 PM	Almost Exact Mendelian Randomization Matthew James Tudball, University of Bristol; Qingyuan Zhao, University of Cambridge
5:00 PM	Estimation of Attributable Events in Stratified Case-Case Analyses Sarah E. Hegarty, University of Pennsylvania; Dylan S. Small, University of Pennsylvania; Pamela Shaw, Kaiser Permanente Washington Health Research Institute
5:05 PM	Statistical Methods to Understand the Role of Engagement in Studies of Mobile Health Interventions Andrew Justin Spieker, Vanderbilt University Medical Center; Robert Greevy, Vanderbilt University Medical Center; Lyndsay Nelson, Vanderbilt University Medical Center; Lindsay Mayberry, Vanderbilt University Medical Center

5:10 PM	Floor Discussion

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

65 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Causal Inference with Latent Variables — Invited Papers
Mental Health Statistics Section, Health Policy Statistics Section, Section on Statistics in Epidemiology, Text Analysis Interest Group
Organizer(s): Booil Jo, Stanford University School of Medicine
Chair(s): Xiao-Li Meng, Harvard University
10:05 AM	A Statistical Test to Reject the Structural Interpretation of a Latent Factor Model Tyler J VanderWeele, Harvard University; Stijn Vansteelandt, Ghent University
10:25 AM	Natural Language Processing Algorithms and Their Relationship to Latent Variable Modeling Brian Lee Egleston, Fox Chase Cancer Center; Slobodan Vucetic, Temple University
10:45 AM	The Deconfounder: What Is It? What Is Its Theory? Is it Useful? David Blei, Columbia University; Yixin Wang, U.C. Berkeley
11:05 AM	Discussant: Mark Van Der Laan, University of California
11:25 AM	Discussant: Kosuke Imai, Harvard 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

82 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Evaluating Causal Effects Using Incomplete Data with Interference in Public Health Research — Topic-Contributed Papers
ENAR, Section on Statistics in Epidemiology, Biopharmaceutical Section
Organizer(s): TingFang Lee, College of Pharmacy, University of Rhode Island
Chair(s): Ashley Buchanan, College of Pharmacy, University of Rhode Island
10:05 AM	Causal Effects with Hidden Treatment Diffusion Over Partially Unobserved Networks Costanza Tortù, Ecole Polytechnique; Irene Crimaldi, IMT Lucca; Fabrizia Mealli, University of Florence; Laura Forastiere, Yale University
10:25 AM	Doubly Robust Treatment Effect Estimation with Missing Attributes Imke Mayer, Centre d'Analyse et de Mathématiques Sociales, EHESS; Erik Sverdrup, Graduate School of Business, Stanford University; Tobias Gauss, Department of Anesthesia and Intensive Care, Beaujon Hospital, AP-HP; Jean-Denis Moyer, Department of Anesthesia and Intensive Care, Beaujon Hospital, AP-HP; Stefan Wager, Stanford University; Julie Josse, INRIA Sophia-Antipolis
10:45 AM	Evaluating Disseminated Effects of Incomplete Data in Network-Based Studies for Public Health Presentation TingFang Lee, College of Pharmacy, University of Rhode Island; Ashley Buchanan, College of Pharmacy, University of Rhode Island; Natallia Katenka, Department of Computer Science and Statistics, University of Rhode Island; M. Elizabeth Halloran, Public Health Sciences Division, Fred Hutch; Samuel Friedman, Department of Population Health, NYU Grossman School of Medicine; Georgios Nikolopoulos, Medical School, University of Cyprus
11:05 AM	Leveraging Influencers in the Design of Network-Structured Studies to Estimate Direct and Spillover Effects Junhan Fang, Yale School of Public Health; Donna Spiegelman, Yale School of Public Health; Laura Forastiere, Yale University
11:25 AM	Discussant: Samrachana Adhikari, NYU School of Medicine
11:45 AM	Floor Discussion

83 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Recent Methodological Developments and Applications in Statistical and Machine Learning Approaches for Predictive Modeling Using Competing Risk Data — Topic-Contributed Papers
Section on Risk Analysis, Section on Statistical Consulting, Section on Statistics in Epidemiology
Organizer(s): Nilotpal Sanyal, Stanford University School of Medicine
Chair(s): Maya Mathur, Stanford University
10:05 AM	Scalable Algorithms for Large-Scale Competing Risks Data Eric Kawaguchi, University of Southern California; Jenny Shen, University of California Los Angeles; Gang Li, University of California Los Angeles; Marc Suchard, University of California Los Angeles
10:25 AM	Dynamic Prediction with Longitudinal Biomarkers in Competing Risks Hein Putter, Leiden University Medical Center; Walter Dempsey, University of Michigan
10:45 AM	Assessing the Predictive Performance of Biomarkers in the Presence of Competing Risks Due to Transplantation Cuihong Zhang, The University of Texas Health Science Center at Houston; Jing Ning, The University of Texas MD Anderson Cancer Center; Steven Belle, University of Pittsburgh; Robert Squires, University of Pittsburgh; Jianwen Cai, The University of North Carolina at Chapel Hill; Ruosha Li, The University of Texas Health Science Center at Houston
11:05 AM	Boosting for Mixture Cure Models Using Survival Data Under Competing Risks for High-Dimensional Data: Application to Second Primary Lung Cancer Data Nilotpal Sanyal, Stanford University School of Medicine; Summer S. Han, Stanford University School of Medicine
11:25 AM	Floor Discussion

110 * !	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Spatio-Temporal Modeling of the COVID-19 Pandemic: Statistics, Data, and the Stories They Tell — Invited Papers
Section on Statistics in Epidemiology, International Statistical Institute, Canadian Statistical Sciences Institute
Organizer(s): Ying C MacNab, University of British Columbia
Chair(s): Ying C MacNab, University of British Columbia
1:35 PM	Use of Time-Varying Contact Data in Endemic-Epidemic Modeling of COVID-19 Incidence Leonard Held, University of Zurich
2:00 PM	A Latent Spatial Model for Pandemic Prediction Marcos O. Prates, Universidade Federal de Minas Gerais
2:25 PM	Spatio-Temporal Bayesian Modeling of County-Level COVID-19 Incidence in South Carolina Presentation Andrew Booth Lawson, Medical University of South Carolina; Joanne Kim, Medical University of South Carolina
2:50 PM	Geographical Trends in the COVID-19 Epidemic in Belgium Christel Faes, Hasselt University
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

133	Mon, 8/9/2021, 1:30 PM - 3:20 PM	Virtual
Statistical Issues in Environmental Epidemiology and Pharmacoepidemiology — Contributed Speed
Section on Statistics in Epidemiology
Chair(s): Qing Yin, University of Pittsburgh
1:35 PM	Estimating a Causal Exposure-Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality Kevin Patrick Josey, Department of Biostatistics, Harvard TH Chan School of Public Health; Priyanka deSouza, Department of Urban Studies and Planning, Massachusetts Institute of Technology; Xiao Wu, Department of Biostatistics, Harvard TH Chan School of Public Health; Rachel Nethery, Department of Biostatistics, Harvard T.H. Chan School of Public Health; Danielle Braun, Harvard T.H. Chan School of Public Health, Dana-Farber Cancer Institute; Francesca Dominici, Harvard University
1:40 PM	Integrating Conflicting Exposures from Secondary Commercial Data Sources Jung Yeon Won, University of Michigan; Brisa Sanchez, Drexel University; Michael R. Elliott, University of Michigan
1:45 PM	Effective Disease Surveillance by Using Covariate Information Kai Yang, University of Florida
1:50 PM	Estimating Spatially Varying Health Effects in App-Based Citizen Science Research Lili Wu, North Carolina State University; Shu Yang, North Carolina State University; Brian Reich, North Carolina State University; Ana Rappold, Environmental Protection Agency
1:55 PM	Partial-Linear, Single-Index Quantile Regression for Modeling Time-Dependent Environmental Exposures Yuyan Wang, NYU Langone Health; Mengling Liu, New York University Grossman School of Medicine
2:00 PM	Meta-Analysis of Generalized Additive Models for Estimation of Environmental Exposure-Response Curves in Heterogeneous Populations: Nationwide Health Impacts of PM2.5 in Medicare Jenny Lee, Harvard T.H. Chan School of Public Health; Rachel Nethery, Department of Biostatistics, Harvard T.H. Chan School of Public Health
2:05 PM	Varying-Coefficient Factor Regression for Longitudinal Outcomes Phuc Nguyen, Duke University
2:10 PM	Estimating Functional Parameters for Understanding the Impact of Weather and Government Interventions on COVID-19 Outbreak Chih-Li Sung, Michigan State University
2:15 PM	Statistical Considerations in a Wolbachia Suppression Study Mark Delorey, CDC
2:20 PM	A Shrinkage Prior Approach for Chemical Mixture Interactions in Risk Assessment Debamita Kundu, NIH/NCI; Sungduk Kim, National Cancer Institute; Paul S. Albert, National Cancer Institute
2:30 PM	HYPER: Group Testing via Hypergraph Factorization Applied to COVID-19 David Hong, University of Pennsylvania; Rounak Dey, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard T.H. Chan School of Public Health; Brian Cleary, Broad Institute of MIT and Harvard; Edgar Dobriban, University of Pennsylvania
2:35 PM	County-Level Risk Factors for Texas County COVID-19 Infection and Death Rates Michael George Machiorlatti, University of Texas Rio Grande Valley - School of Medicine
2:40 PM	Hypothesis Testing and Sample Size Considerations for the Test-Negative Design Yanan Huo, University of Florida, Department of Biostatistics; Natalie Dean, University of Florida
2:45 PM	Bayesian Multiple Index Models for Environmental Mixtures Glen McGee, University of Waterloo; Ander Wilson, Colorado State University; Brent Coull, Harvard TH Chan School of Public Health; Thomas Webster, Boston University
2:50 PM	Estimating the Optimal Population Upper Bound for Scan Methods in Retrospective Disease Surveillance Presentation Mohammad Meysami, University of Colorado Denver; Joshua French, University of Colorado Denver; Ettie Lipner, National Jewish Health
2:55 PM	Advancing Timely and Reliable Evidence Synthesis for COVID-19 Research by Including Preprints in Systematic Reviews Jiayi Tong, University of Pennsylvania; Rebecca Hubbard, University of Pennsylvania; Adam C. Cuker, University of Pennsylvania; Yong Chen, University of Pennsylvania
3:00 PM	A Semiparametric Survival Model for Time-Varying Hazard Ratios with Recurrent Outcomes Nicholas Belviso, Biogen; Menglan Pang, Biogen; Changyu Shen, Biogen; Carl de Moor, Biogen

142 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Recent Development in Computational Biology and Bioinformatics — Invited Papers
Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology, Health Policy Statistics Section
Organizer(s): Wenxuan Zhong, University of Georgia
Chair(s): Wenxuan Zhong, University of Georgia
10:05 AM	Deep Generative Modeling of Single Cell Chromatin Conformation Capture Data Sunduz Keles, University of Wisconsin, Madison; Siqi Shen, University of Wisconsin; Ye Zheng, Fred Hutchinson Cancer Research Center
10:30 AM	Analyzing Genomic Data Using Neural Networks Wei Sun, Fred Hutchinson Cancer Research Center
10:55 AM	Cell-to-Cell Trajectories and Pathway Construction for Time-Course Single Cell RNA-Seq Data Ping Ma, University of Georgia
11:20 AM	A Statistical Framework to Identify Cell Types Whose Genetically Regulated Proportions Are Associated with Complex Diseases Wei Liu, Yale University ; Wenxuan Deng, Yale University; Ming Chen, Yale University; Zihan Dong, Yale University; Biqing Zhu, Yale University; Zhaolong Yu, Yale University; Daiwei Tang, Yale University; Hongyu Zhao, Yale University
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

158 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Statistical Methods for High-Dimensional Data in Health Care and Medical Research — Topic-Contributed Papers
Section on Statistics in Epidemiology, International Society for Bayesian Analysis (ISBA), ENAR
Organizer(s): Zehang Richard Li, University of California, Santa Cruz
Chair(s): Zehang Richard Li, University of California, Santa Cruz
10:05 AM	Quantile Probit Copula Model for Association in Paired Study Data Presentation Roberta De Vito, Brown University; Isabella Grabsky, Harvard University; Barbara Engelhardt, Princeton University
10:25 AM	Empirical Evaluation of Internal Validation Methods for Estimating Optimism Error in High-Dimensional Electronic Health Record Data with Rare Event Outcomes Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute; Qinqing Liao, University of Washington
10:45 AM	Validation of a Portable System for Molecular Diagnostics of SARS-CoV-2 Claudia Wehrhahn, University of California, Santa Cruz; Maricarmen Quirasco Baruch, Universidad Nacional Autónoma de México; Luis Vaca Domínguez, Universidad Nacional Autónoma de México
11:05 AM	Bayesian Sparse Regression for Healthcare Analytics on Network of Observational Databases Akihiko Nishimura, Johns Hopkins Bloomberg School of Public Health; Marc Suchard, University of California Los Angeles
11:25 AM	Empirical Likelihood Approach for Variance Component Test with Repeated Accelerometry Measures Haochang Shou, University of Pennsylvania
11:45 AM	Floor Discussion

177	Tue, 8/10/2021, 12:00 PM - 1:20 PM	Virtual
Section on Statistics in Epidemiology P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics in Epidemiology
TL11:	Multivariate Matching Methods for Causal Inference Jose Zubizarreta, Harvard University

211	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Disease Prediction — Contributed Speed
Section on Statistics in Epidemiology
Chair(s): Lili Wu, North Carolina State University
1:35 PM	The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of US COVID-19 Cases Francesca Tang, Princeton University; Yang Feng, New York University; Hamza Chiheb, N/A; Jianqing Fan , Princeton University
1:40 PM	Modeling Influenza and COVID-19-Associated US Hospitalization Rates to Adjust for Reporting Delays Alissa O'Halloran, CDC; Michael Whitaker, CDC; Michael Johansson, CDC; Rebecca Kahn, CDC; Fiona Havers, CDC; Shikha Garg, CDC
1:45 PM	BayesSMEG: Bayesian Segmentation Modeling for Epidemic Growth Tejasv Bedi, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
1:50 PM	Inference on the Dynamics of the COVID Pandemic from Observational Data Satarupa Bhattacharjee, University of California Davis
1:55 PM	Breast Cancer Among Asian Indian and Pakistani Women in the US: A SEER-Based Study Jaya Satagopan, Rutgers University; Antoinette Stroup, Rutgers School of Public Health; Anita Kinney, Rutgers School of Public Health; Tina Dharamdasani, Rutgers School of Public Health; Shridar Ganesan, Rutgers Cancer Institute of New Jersey; Elisa Bandera, Rutgers Cancer Institute of New Jersey
2:00 PM	Predicting the Risk of Clinical Events Using Longitudinal Data: The Generalized Landmark Analysis Yi Yao, The University of Texas MD Anderson Cancer Center; Brad Astor, University of Wisconsin; Tom Greene, University of Utah; Wei Yang, University of Pennsylvania; Liang Li, The University of Texas MD Anderson Cancer Center
2:05 PM	Estimation of Local Time-Varying Reproduction Numbers with Noisy Surveillance Data Wenrui Li, Boston University ; Katia Bulekova, Boston University; Brian Gregor, Boston University ; Laura White, Boston University School of Public Health; Eric Kolaczyk, Boston University
2:10 PM	Two-Stage Model for Time to Breast Cancer Mortality Among a Cohort of Initially Disease-Free Women Bernard Rosner, Harvard Medical School/School of Public Health; Robert Glynn, Harvard Medical School; Heather Eliassen, Harvard Medical School/School of Public Health; Susan Hankinson, Harvard Medical School/School of Public Health/UMass-Amherst; Rulla Tamimi, Harvard Medical School/School of Public Health/Weill Cornell Medical School ; Wendy C Chen, Harvard Medical School/Brigham and Women's Hospital/Dana Farber Cancer Institute; Michelle Holmes, Harvard Medical School/School of Public Health; Yi Mu, Harvard Medical School/Brigham and Women's Hospital; Graham A Colditz, Washington University School of Medicine; Walter C Willett, Harvard Medical School/School of Public Health; Shelley S Tworoger, Moffitt Cancer Center
2:15 PM	Bayesian Disease Mapping of COVID-19 Cases in Counties of Minnesota, US Jingxin Lei, University of British Columbia; Ying C MacNab, University of British Columbia
2:20 PM	A Modified Multi-Strain SIR Model for Emerging Viral Strains Presentation Miguel Fudolig, University of Nebraska-Lincoln; Reka Howard, University of Nebraska - Lincoln
2:30 PM	Flexible Lehman Family ROC Curves Soutik Ghosal, NICHD/NIH; Zhen Chen, NICHD/NIH
2:35 PM	Two-Stream Capture-Recapture Method with Accounting for Misclassification Lin Ge, Emory University; Robert H Lyles, Emory University; Lance Waller, Emory University; Yuzi Zhang, Department of Biostatistics and Bioinformatics, RSPH of Emory University; Timothy Lash, Emory University; Kevin Ward, Emory University
2:40 PM	Determining the Appropriate Model for Characterizing Risk Effect Interactions Jimmy Thomas Efird, CSPEC/HSR&D/DVAHCS
2:45 PM	Extended SIR Model for COVID-19 Incidences in the USA and South Korea Idamawatte Gedara Chamari Geethani Idamawatta, North Dakota Sate University; Bong-Jin Choi, North Dakota State University
2:50 PM	Continuous Time MCMC Model for Transmission of Infectious Diseases in Close Contact Groups Hasibul Hasan, University of Florida; Yang Yang, University of Florida; Eben Kenah, The Ohio State University
2:55 PM	A Bayesian Joint Polyp Profile Model for the Longitudinal Development of Colorectal Cancer (CRC) Precursors That Incorporates a Patient’s Entire History of Colonoscopic Findings Cameron Miller, Cooperative Studies Program Epidemiology Center-Durham; Brian Sullivan, Duke University; Xuejun Qin, Duke University; Thomas Redding, Cooperative Studies Program Epidemiology Center-Durham; Jimmy Thomas Efird, CSPEC/HSR&D/DVAHCS; Ashton Madison, Cooperative Studies Program Epidemiology Center-Durham; Kellie Sims, Cooperative Studies Program Epidemiology Center-Durham; Christina D. Williams, Cooperative Studies Program Epidemiology Center-Durham; Elizabeth Kobe, Cooperative Studies Program Epidemiology Center-Durham; David Weiss, Perry Point VA Medical Center; David Lieberman, VA Portland Health Care System; Dawn Provenzale, Cooperative Studies Program Epidemiology Center-Durham; Elizabeth Hauser, Duke University
3:00 PM	A Space-Time Model for Inferring Point-Level Susceptibility to Infectious Diseases Xiaoxiao Li, Pennsylvania State University; Matthew Ferrari, Pennsylvania State University; Murali Haran, Pennsylvania State University
3:05 PM	A dynamic risk model for multi-type recurrent events Presentation Alokananda Ghosh, The Biostatistics Center; Wenyaw Chan, UTHealth; Naji Younes, The Biostatistics Center; Barry R. Davis, UTHealth
3:10 PM	A Zero-State Coupled Markov Switching Poisson Model for Spatio-Temporal Infectious Disease Counts Dirk Douwes-Schultz, McGill; Alexandra Schmidt, McGill
3:15 PM	Comparison of Platforms for Testing Antibodies to Chlamydia Trachomatis Antigens in the Democratic Republic of the Congo and Togo Jessica Hoehner, Leidos, Inc.

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

256	Wed, 8/11/2021, 12:00 PM - 1:20 PM	Virtual
Section on Statistics in Epidemiology P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics in Epidemiology
WL11:	Statistical and Epidemic Modeling of COVID-19 Transmission, Intervention, and Vaccination Xihong Lin, Harvard T.H. Chan School of Public Health

278 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Innovative Methods for Predicting Public Health Outcomes and Informing Policy — Topic-Contributed Papers
Section on Statistics in Epidemiology, ENAR, Health Policy Statistics Section
Organizer(s): Ashley Buchanan, College of Pharmacy, University of Rhode Island
Chair(s): Anarina Murillo, Brown University
1:35 PM	Spillover Effects of Pre-Exposure Prophylaxis Delivery for HIV Prevention: Evaluating the Importance of Effect Modification using an Agent-Based Model Ashley Buchanan, College of Pharmacy, University of Rhode Island; Carolyn Park, Brown School of Public Health; Sam Bessey, Brown School of Public Health; William Goedel, Brown School of Public Health; Eleanor Murray, Boston University; Samuel Friedman, Department of Population Health, NYU Grossman School of Medicine; M. Elizabeth Halloran, Public Health Sciences Division, Fred Hutch; Natallia Katenka, Department of Computer Science and Statistics, University of Rhode Island; Brandon DL Marshall, Brown School of Public Health
1:55 PM	Multilevel Network Models for Evaluation of Network-Informed HIV Prevention Interventions Nicole Bohme Carnegie, Montana State University
2:15 PM	Novel Application of a Multistate Model to Investigate the Opioid Use Disorder Care Cascade in Rhode Island Hilary Aroke, University of Rhode Island; Ashley Buchanan, College of Pharmacy, University of Rhode Island; Anarina Murillo, Brown University; Tianyu Sun, University of Rhode Island; Jeffrey Bratberg, University of Rhode Island; Stephen Kogut, University of Rhode Island; Brandon DL Marshall, Brown School of Public Health; Joseph Hogan, Brown University
2:35 PM	Cardiovascular Health Inequities: Innovative Methods Coupled with Diverse Observational Cohorts Equals a Recipe for Evidence-Based Policies Loni Tabb, Drexel Univerisity
2:55 PM	Discussant: Joseph Hogan, Brown University
3:15 PM	Floor Discussion

284 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Learning Individualized/Sub-Group Treatment Rules in Complex Settings — Topic-Contributed Papers
Health Policy Statistics Section, Social Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Rahul Ladhania, University of Michigan
Chair(s): Lyle Ungar, University of Pennsylvania
1:35 PM	Personalizing Treatment Assignment Rules in Large Multi-Arm Experimental Settings Rahul Ladhania, University of Michigan; Lyle Ungar, University of Pennsylvania
1:55 PM	Automatic Regression Discontinuity Discovery Using Tree-Based Partitioning Tony Liu, University of Pennsylvania; Rahul Ladhania, University of Michigan; Lyle Ungar, University of Pennsylvania; Konrad Kording, University of Pennsylvania
2:15 PM	Discovering Anomalous Patterns of Care Using Health Insurance Claims Sriram Somanchi, University of Notre Dame; Edward McFowland III, University of Minnesota; Daniel B Neill, New York University
2:35 PM	Instrumental Variable Approaches to Individualized Decision Making Under Endogeneity Yifan Cui, National University of Singapore
2:55 PM	Learning for Long-Term Outcomes Jeremy Yang, MIT; Dean Eckles, Massachusetts Institute of Technology; Paramveer Dhillon, University of Michigan; Sinan Aral, MIT
3:15 PM	Floor Discussion

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

309 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Statistical Advances in Source Apportionment of Air Pollutants and Source-Specific Health Effects Evaluation — Topic-Contributed Papers
Korean International Statistical Society, Section on Statistics and the Environment, Section on Statistics in Epidemiology
Organizer(s): Eun Sug Park, Texas A&M Transportation Institute
Chair(s): Byron Gajewski, University of Kansas Medical Center
3:35 PM	Estimating Source Contributions to Particulate Matter Air Pollution Amber Hackstadt, Vanderbilt University Medical Center
3:55 PM	Bayesian Quantile Multivariate Receptor Modeling Man-Suk Oh, Ewha Womans University; Eun Sug Park, Texas A&M Transportation Institute
4:15 PM	Bayesian Source Apportionment Models for Multi-Scale Studies of Air Pollution Jenna R Krall, George Mason University
4:35 PM	Assessing Multi-Pollutant, Source-Specific Exposures and Differential Health Effects Eun Sug Park, Texas A&M Transportation Institute; Elaine Symanski, Baylor College of Medicine
4:55 PM	Discussant: William F. Christensen, Brigham Young University
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

320	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Electronic Health Records, Causal Inference and Miscellaneous — Contributed Speed
Section on Statistics in Epidemiology, Text Analysis Interest Group
Chair(s): Charles Hall, Albert Einstein College of Medicine
3:35 PM	Modified Cox Regression for Modeling Severe Liver Disease Outcomes and History of FIB4 Mulugeta Gebregziabher, MUSC; Jingwen Zhang, MUSC; Patrick Mauldin, MUSC; Andrew Schreiner, MUSC
3:40 PM	Application of the Knockoff Filter to Select Models for Automated Surveillance of Postoperative Infections Yaxu Zhuang, University of Colorado Anschutz Medical Campus; Robert Meguid, University of Colorado Anschutz Medical Campus; William Henderson, University of Colorado Anschutz Medical Campus; Adam Dyas, University of Colorado Anschutz Medical Campus; Kathryn L Colborn, University of Colorado Anschutz Medical Campus
3:45 PM	Efficient and Robust Semi-Supervised Learning: Estimating ATE with Partially Annotated Treatment and Response Jue Hou, Harvard T.H. Chan School of Public Health; Tianxi Cai, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health
3:50 PM	Detecting Data Entry Errors in Electronic Medical Records Using Basis Splines Daren Kuwaye, University of Iowa
3:55 PM	Cumulative Viral Load and Risk of Diabetes and Hypertension in People with HIV: An Analysis of Electronic Health Records Adovich Rivera, Northwestern University; Lauren Beach, Northwestern University; Juned Siddique, Northwestern University; Donald Lloyd-Jones, Northwestern University; Matthew Feinstein, Northwestern University
4:00 PM	Identifying COVID-19 Diagnoses Using Unstructured Electronic Health Records Benjamin Ackerman, Flatiron Health; James Roose, Flatiron Health; Shrujal Baxi, Flatiron Health; Patrick Gonzales, Flatiron Health; Sandra D. Griffith, Flatiron Health
4:05 PM	A Novel Semiparametric Approach to Analyzing Enriched Electronic Health Record Data Jill Schnall, University of Pennsylvania; Yizheng Wei, University of South Carolina; Yanyuan Ma, Penn State University; Ravi Parikh, University of Pennsylvania; Jinbo Chen, University of Pennsylvania
4:10 PM	Avoidance of Care: How Socioeconomic Inequities Impact COVID-19 Severity and Outcome Chinyere J Okpara, NYU Langone Health Long Island; Jasmin Divers, NYU Long Island School of Medicine; Megan D Winner, NYU Langone Health Long Island; Meredith Akerman, NYU Long Island School of Medicine; Shahidul Islam, NYU Long Island School of Medicine
4:15 PM	Double Sampling for Data Missing Not at Random: Designs and Efficient Estimation Strategies Alexander Levis, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard TH Chan School of Public Health
4:20 PM	Sensitivity Analysis in the Generalization of Experimental Results Melody Huang, UCLA
4:30 PM	Estimating Causal Measures Using a Generalized Difference-in-Difference Approach Marcelo Magalhaes Taddeo, Universidade Federal da Bahia (UFBA); Leila Denise A. F. Amorim, Universidade Federal da Bahia (UFBA); Rosana Aquino, Universidade Federal da Bahia (UFBA)
4:35 PM	Estimating Heterogeneous Treatment Effects for Patients Hospitalized with COVID-19 Laine Thomas, Duke University, Department of Biostatistics and Bioinformatics
4:40 PM	Profile Matching for the Generalization and Personalization of Causal Inferences Presentation Eric Cohn, Harvard University; Jose Zubizarreta, Harvard University
4:45 PM	Trials of Targets Margret Erlendsdottir, Yale School of Public Health; Forrest W. Crawford, Yale University
4:50 PM	Power and Sample Size Calculation for Microbiome Epidemiology Meghan I. Short, Broad Institute; Emma Schwager, Harvard TH Chan School of Public Health; Siyuan Ma, Harvard T. H. Chan School of Public Health; Lauren McIver, Harvard TH Chan School of Public Health; Jeremy E. Wilkinson, Harvard T. H. Chan School of Public Health; Eric Franzosa, Harvard TH Chan School of Public Health; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
4:55 PM	Random Change-Point Non-linear Mixed Effects Model for left-censored longitudinal data: An application to HIV surveillance Binod Manandhar, City University of New York; Hongbin Zhang, City University of New York
5:00 PM	Design and Estimation for the Population Prevalence of Infectious Diseases with Limited Testing Resources Eric Oh, Biocomplexity Institute, University of Virginia; Alyssa Mikytuck, Biocomplexity Institute, University of Virginia; Vicki Lancaster, Biocomplexity Institute, University of Virginia; Joshua Randall Goldstein, Biocomplexity Institute, University of Virginia; Sallie Keller, Biocomplexity Institute, University of Virginia
5:05 PM	Racial and Ethnic Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: An Analysis of 45 States and the District of Columbia Jay J Xu, University of California, Los Angeles; Thomas R. Belin, UCLA FSPH
5:10 PM	Exploration of Covariate-Constrained Randomization for Cluster-Randomized Trials in Which Many Clusters Are Available Amy M. Crisp, University of Florida; Natalie Dean, University of Florida

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

332 *	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Synthetic Clinical Trials Design to Accelerate FDA Approvals — Invited Papers
Biopharmaceutical Section, Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science
Organizer(s): Choudur Lakshminarayan, Teradata Labs/The University of Texas at Austin
Chair(s): Peter Mueller, University of Texas Austin
10:05 AM	Machine Learning-Enabled Real-World Evidence in Synthetic Arms Trials Prater Edmund, The University of Texas at Arlington; Kay-Yut Chen, The University of Texas at Arlington; Sridhar Nerur, The University of Texas at Arlington
10:30 AM	Incorporating External Data into the Analysis of Clinical Trials via Bayesian Additive Regression Trees Tianjian Zhou, Colorado State University; Yuan Ji, The University of Chicago
10:55 AM	A Novel Bayesian Nonparametric Method to Use Real-World Data in Clinical Trials Presentation Noirrit Kiran Chandra, University of Texas at Austin; Peter Mueller, University of Texas Austin
11:20 AM	Discussant: Choudur Lakshminarayan, Teradata Labs/The University of Texas at Austin
11:40 AM	Floor Discussion

342 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Measurement Challenges and Innovations in Cognitive Aging and Dementia Research: Progress from the MEthods for LOngitudinal Studies of DEMentia (MELODEM) Initiative — Topic-Contributed Papers
Section on Statistics in Epidemiology, WNAR, ENAR
Organizer(s): Crystal Shaw, UCLA Fielding School of Public Health
Chair(s): Shubhabrata Mukherjee, University of Washington
10:05 AM	Co-Calibrating Cognitive Scores Across Multiple Studies of Dementia Laura Gibbons, University of Washington; Paul K Crane, University of Washington; Shubhabrata Mukherjee, University of Washington
10:25 AM	Co-Calibration of Cognitive Functioning Domains Across Different Countries When There Are No Common Linking Items Alden Gross, Johns Hopkins Bloomberg School of Public Health; Emma L Nichols, Johns Hopkins Bloomberg School of Public Health
10:45 AM	A Bayesian latent class mixture modeling framework for algorithmic dementia classification in population-representative studies Crystal Shaw, UCLA Fielding School of Public Health; donatello telesca, UCLA; Elizabeth Rose Mayeda, UCLA FSPH; Thomas R. Belin, UCLA FSPH
11:05 AM	Sensitivity Analysis for Nonignorable Missingness and Outcome Misclassification from Proxy Reports Michelle Shardell, University of Maryland School of Medicine
11:25 AM	Integrating Latent Variable Modeling, Statistical Learning, and Inverse Propensity Score Weighting to Identify Longitudinal Trajectory Phenotypes and the Underlying Disparity Presentation Chen-Pin Wang, University of Texas Health Science Center San Antonio; Mitzi M Gonzales, University of Texas Health Science Center San Antonio; Helen Hazuda, University of Texas Health Science Center San Antonio; Sudha Seshadri, University of Texas Health Science Center San Antonio
11:45 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

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

418 *	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Recent Developments in Network Meta-Analysis — Invited Papers
ENAR, International Chinese Statistical Association, Section on Statistics in Epidemiology
Organizer(s): Haitao Chu, University of Minnesota Twin Cities
Chair(s): Rui Duan, Harvard University
4:05 PM	The Impact of Covariance Priors on Arm-Based Bayesian Network Meta-Analyses with Binary Outcomes Zhenxun Wang, University of Minnesota Twin Cities; Lifeng Lin, Florida State University; James Hodges, University of Minnesota Twin Cities; Haitao Chu, University of Minnesota Twin Cities
4:30 PM	Assessment of Homogeneity and Consistency for Network Meta-Analysis Joseph G Ibrahim, UNC; Cheng Zhang, UCONN; Hao Li, Boeringer-Ingelheim; Ming-Hui Chen, UCONN; Arvind Shah, Merck, Inc.; Jianxin Lin, Merck, Inc.
4:55 PM	Predictive Treatment Ranking in Bayesian Network Meta-Analysis Lifeng Lin, Florida State University
5:20 PM	Bayesian Network Meta-Regression Hierarchical Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances Hao Li, University of Connecticut; Daeyoung Lim, University of Connecticut; Ming-Hui Chen, UCONN; Joseph G Ibrahim, UNC; Sungduk Kim, National Cancer Institute; Arvind Shah, Merck, Inc.; Jianxin Lin, Merck, Inc.
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

442	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Disease Prediction, Statistical Methods for Genetic Epidemiology and Mis — Contributed Speed
Section on Statistics in Epidemiology
Chair(s): Miguel Fudolig, University of Nebraska-Lincoln
4:05 PM	Predicting Risk of Low Back Pain Using a Super Learner Algorithm Hannah Michelle Brown, American University; Elizabeth Malloy, American University; Jay Kapellusch, University of Wisconsin–Milwaukee
4:10 PM	Modeling the COVID-19 Epidemic in Mexico: A Two-Step Approach RAFAEL PEREZ ABREU, CENTRO DE INVESTGACION EN MATEMATICAS; SAMANTHA ESTRADA, UNIVERSITY OF TEXAS AT TYLER; HECTOR DE-LA-TORRE-GUTIERREZ, CENTRO DE INVESTIGACION EN MATEMATICAS
4:15 PM	Assessing the use of GEE methods for analyzing family data: the Strong Heart Family Study Xi Chen, University of Oklahoma Health Sciences Center; Ying Zhang, University of Oklahoma Health Sciences Center; Amanda M. Fretts, University of Washington; Tauqeer Ali, University of Oklahoma Health Sciences Center; Jason Umans, Georgetown University; Richard Devereux, Weil Cornell Medicine; Elisa Lee, The University of Oklahoma Health Sciences Center; Shelley Cole, Texas Biomedical Research Institute; Daniel E Zhao, OUHSC Hudson College of Public Health
4:20 PM	Applied Methods in Studying Age, Leukocyte Telomere Length, and Risk of Stroke in the Strong Heart Study Caroline Goode, The University of Oklahoma Health Sciences Center; Jinying Zhao, University of Florida Gainesville; Richard Devereux, Weil Cornell Medicine; Santosh Murthy, Weil Cornell Medicine; Alexander Merkler, Weil Cornell Medicine; Parmanand Singh, Weil Cornell Medicine; Jason Umans, Georgetown University; Barbara Howard, Georgetown University; Shelley Cole, Texas Biomedical Research Institute; Amanda M. Fretts, University of Washington; Lyle Best, Missouri Breaks Industries Research Inc.; Tauqeer Ali, University of Oklahoma Health Sciences Center; Elisa Lee, The University of Oklahoma Health Sciences Center; Ying Zhang, University of Oklahoma Health Sciences Center
4:25 PM	Microbial Trend Analysis for Common Dynamic Trend, Group Comparison, and Classification in Longitudinal Microbiome Study Chan Wang, NYU Langone Health; Jiyuan Hu, New York University Grossman School of Medicine; Martin J. Blaser, Rutgers University, Center for Advanced Biotechnology and Medicine; Huilin Li, New York University Grossman School of Medicine
4:30 PM	An Augmented Likelihood Approach for the Discrete Proportional Hazards Model and a Complex Survey Design, with Application to HCHS/SOL Study Lillian Boe, University of Pennsylvania; Pamela Shaw, Kaiser Permanente Washington Health Research Institute
4:35 PM	Missing Data Matters in Participatory Syndromic Surveillance Systems: Comparative Evaluation of Missing Data Methods When Estimating Incidence Rate Presentation Kristin Baltrusaitis, Harvard T.H. Chan School of Public Health; Craig Dalton, Hunter New England Population Health; Sandra Carlson, Hunter New England Population Health; Laura White, Boston University School of Public Health
4:40 PM	Numerical Assessment of Robustness of Treatment Effect Estimation with Missing Data Zhibao Mi, VA CSPCC at Perry Point; Min Zhan, VA CSPCC at Perry Point; Eileen Stock, VA CSPCC at Perry Point; Kousick Biswas, VA CSPCC at Perry Point
4:45 PM	Statistical Issues of Analyzing Sex Partner Data in Military Treatment Facilities HSING-CHUAN HSIEH, Infectious Disease Clinical Research Program (IDCRP), PMB, USU; Nazia Rahman, IDCRP, PMB, USU; Roberta Lugo Robles, 3. The Henry M. Jackson Foundation for the Advancement of Military Medicine, PMB, USU; Sandra Waggoner, 3. The Henry M. Jackson Foundation for the Advancement of Military Medicine, IDCRP, USU; Eric Garges, IDCRP, PMB, USU; TZU-CHEG KAO, Uniformed Services University (USU)
4:50 PM	Using Machine Learning to Identify Patterns of County-Level Trends in Diabetes Prevalence in the United States, 2011-2019 Hui Xie, CDC; Deborah B Rolka, CDC; Yu B Chen, CDC
5:00 PM	Interpretable Subclass-Wise Measures for Interaction Detection as an Alternative to Interaction Tests Presentation Eiji Nakatani, Shizuoka Graduate University of Public Health; Yoko Sato, Shizuoka Graduate University of Public Health; Seiichiro Yamamoto, Shizuoka Graduate University of Public Health
5:05 PM	Selection Bias Adjustment in Infectious Disease Outbreak Data Mingjin Liu, University of Florida; Yang Yang, University of Florida
5:10 PM	Patient and Clinical Features of Pediatric Brain Tumor Survival in the US: Epidemiological Evidence from Four Decades of Population Data Saira Khan, University of Delaware; Wendi Xiao, Nemours Children's Health System; Maliha Tayeb, University of Pittsburg; Jobayer Hossain, Nemours Children's Health System
5:15 PM	Cluster Analysis of US States Based on COVID-19 Incidence, Fatality, and Vaccination Jing Guo, California State University, Chico; Faith Fatchen, California State University, Chico
5:20 PM	A Simulation Study to Compare the Bias and Efficiency of the Sample Mean Obtained from Simple Random and Convenience Samples Evrim Oral, LSU Health Sciences Center School of Public Health Biostatistics Program; Harun Mazumder, LSU Health School of Public Health Biostatistics Program; Sarah Grunblatt, LSU Health School of Public Health Epidemiology Program; Chaoyi Zeng, LSU Health School of Public Health Biostatistics Program
5:25 PM	Multi-Objective, Model-Based Reinforcement Learning for Infectious Disease Control Runzhe Wan, North Carolina State University; Xinyu Zhang, North Carolina State University; Rui Song, North Carolina State University
5:30 PM	A Uniformly Ergodic Data-Augmented MCMC for Fitting Stochastic Epidemic Models to Incidence Data Raphael Morsomme, Duke University

5:35 PM	Floor Discussion

220760	Wed, 8/18/2021, 3:00 PM - 5:00 PM
Section on Statistics in Epidemiology Officers Business Meeting (Closed) — Other Cmte/Business
Section on Statistics in Epidemiology
Chair(s): Charles Hall, Albert Einstein College of Medicine
Virtual meeting.

220761	Wed, 8/18/2021, 5:00 PM - 7:00 PM
Section on Statistics in Epidemiology Open Business Meeting and Awards Ceremony — Other Cmte/Business
Section on Statistics in Epidemiology
Chair(s): Charles Hall, Albert Einstein College of Medicine
Virtual meeting. Register with Zoom any time prior to the meeting: https://amstat.zoom.us/meeting/register/tJMtcOuorTgjEtLN3_qJGFb5PYg-f-I16389 This meeting will include a talk by Nathan Mantel Award Recipient Prof. Nick Jewell entitled "Nathan Mantel: A Life in Epidemiology--Our Distinct and Overlapping Interests" at 6:00 PM Eastern Time

JSM 2021 Online Program

Activity Details

American Statistical Association