Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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* = applied session ! = JSM meeting theme

Activity Details

5	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Recent Development on Statistical Methods for Precision Medicine — Invited Papers
ENAR, Biometrics Section, Section on Statistics in Epidemiology, Biopharmaceutical Section
Organizer(s): Guanhua Chen, University of Wisconsin-Madison
Chair(s): Yanyao Yi, Eli Lilly and Company
10:05 AM	A Two-Part Model for Individualized Treatment Rule Estimation with Semi-Continuous Outcomes Guanhua Chen, University of Wisconsin-Madison; Maureen Smith, University of Wisconsin-Madison; Jared Huling, The Ohio State University
10:30 AM	Bayesian Nonparametric Survival Regression for Optimizing Precision Dosing of Intravenous Busulfan in Allogeneic Stem Cell Transplantation Presentation Peter F. Thall, M.D. Anderson Cancer Center; Yanxun Xu, Johns Hopkins University; William Hua, Johns Hopkins University; Borje Andersson, M.D. Anderson Cancer Center
10:55 AM	Targeted Learning of Causal Impact of Optimal Individualized Treatment Rules Based on Novel Sequentially Adaptive Designs Mark Van der Laan, University of California, Berkeley; Ivana Malenica, University of California, Berkeley
11:20 AM	Stochastic Tree Search for Estimating Personalized Treatment Decision Rules Lu Wang, University of Michigan; Yilun Sun, University of Michigan Medical School
11:45 AM	Floor Discussion

18 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Emerging Issues in EHR: Methods to Enhance Knowledge Discovery and Real World Implementation — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Yong Chen, University of Pennsylvania
Chair(s): Rui Duan, University of Pennsylvania
10:05 AM	Modeling Heterogeneity and Missing Data in Electronic Health Records Ying Wei, Columbia University
10:35 AM	Statistical Challenges of Implementing Real-Time EHR-Based Risk Prediction Tools in Emergency Department Dandan Liu, Vanderbilt University
11:05 AM	Distributed Learning for Electronic Health Records Data Yong Chen, University of Pennsylvania
11:35 AM	Floor Discussion

20 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Remote Sensing and Public Health: Statistical Challenges and Opportunities — Invited Papers
American Public Health Association, Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Jonathan Hobbs, Jet Propulsion Laboratory
Chair(s): Colin Lewis-Beck, University of Iowa
10:05 AM	Parameter Selection and Uncertainty Quantification of Satellite-Retrieved Aerosol Properties Meredith Franklin, University of Southern California
10:40 AM	Bayesian Hierarchical Models for Combining Monitoring Measurement, Satellite Imagery, and Model Simulation Howard Chang, Emory University; Nancy Murray, Emory University
11:15 AM	Discussant: Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
11:35 AM	Floor Discussion

24 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Causal Inference When the Outcome Is Truncated by Death — Topic Contributed Papers
Section on Statistics in Marketing, Lifetime Data Science Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Jessica Gerald Young, Harvard Medical School
Chair(s): Jessica Gerald Young, Harvard Medical School
10:05 AM	New Estimands for Causal Inference Conditional on Post-Treatment Variables Mats Stensrud, Harvard T. H. Chan School of Public Health
10:25 AM	Principal Surrogate Evaluation Using Multiple Trials Zhichao Jiang, University of Massachusetts, Amherst; Peng Ding, University of California, Berkeley; Zhi Geng, Peking University
10:45 AM	Flexible Estimation of Time-Varying Survivor Average Causal Estimands Using Bayesian Additive Regression Trees Leah Comment, Foundation Medicine, Inc
11:05 AM	Bayesian Mediation Analysis for Cluster Randomized Trials Joseph Hogan, Brown University; Michael Daniels, University of Florida
11:25 AM	Floor Discussion

27 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Innovative Methods for Missing Data and Measurement Error in Health Research — Topic Contributed Papers
Health Policy Statistics Section, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania; Michelle Shardell, University of Maryland School of Medicine
Chair(s): Roee Gutman, Brown University
10:05 AM	Examination of Missingness, Differential Reporting and Dropout When Patients Know Their Treatment Assignment in RCTs Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania
10:25 AM	Addressing Non-Ignorably Missing Proxy-Reported Exposure Data Michelle Shardell, Institute for Genome Sciences University of Maryland School of Medicine
10:45 AM	Multiple Imputation for Nonignorable Item Nonresponse in Complex Surveys Using Auxiliary Margins Presentation Olanrewaju Akande, Duke University; Jerry Reiter, Duke University
11:05 AM	Gamma Models for Estimating the Odds Ratio for a Skewed Biomarker Measured in Pools and Subject to Errors Dane Van Domelen, Emory University; Emily Mitchell, Agency for Healthcare Research and Quality (AHRQ); Neil Perkins, NICHD; Enrique Schisterman, NICHD; Amita Manatunga, Emory University; Eugene Huang, Emory University; Robert H. Lyles, Emory University
11:25 AM	Statistical Methods to Estimate Change in Incomplete Multivariate Ordinal Responses from Patient Reported Outcome Measures Olawale Fatai Ayilara, University of Manitoba; Tolulope T Sajobi, University of Calgary; Ruth Barclay, University of Manitoba; Mohammad Jafari Jozani, University of Manitoba; Lisa M Lix, University of Manitoba
11:45 AM	Floor Discussion

76	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Section on Statistics in Epidemiology — Contributed Poster Presentations
Section on Statistics in Epidemiology
1:	Learning Healthcare Delivery Network with Longitudinal Electronic Health Records Data Jiehuan Sun, University of Illinois at Chicago; Katherine Liao, Harvard Medical School; Tianxi Cai, Harvard University
2:	Is Group Testing Ready for Prime-Time in Disease Identification? Gregory Haber, National Cancer Institute; Yaakov Malinovsky, University of Maryland, Baltimore County; Paul S. Albert, National Cancer Institute
3:	Determining Suitable Options for Random Coefficient Variables Novie Younger-Coleman, Caribbean Institute for Health Research (formerly TMRI), UWI, Jamaica; Jennifer Knight-Madded, CAIHR, University of the West Indies, Jamaica
4:	Case Contamination in Electronic Health Records-Based Case-Control Studies Jill Schnall, University of Pennsylvania; Lu Wang, University of Pennsylvania; Michael Levin, University of Pennsylvania; Scott Damrauer, University of Pennsylvania; Jinbo Chen, University of Pennsylvania
5:	Doubly Robust Estimators in Randomized Trials with Monotone Dropout Yuqi Qiu; Karen Messer, University of California, San Diego
6:	Relaxing the Interaction Test in the Cox Proportional Hazard Model for Epidemiological Studies Eiji Nakatani, Shizuoka General Hospital; Yoko Sato, Shizuoka General Hospital
7:	An Empirical Evaluation and Guideline of the R-Value for Replicability Analysis Using the Cochrane Database of Systematic Reviews Mengli Xiao, University of Minnesota; Lifeng Lin, Florida State University; James S. Hodges, Division of Biostatistics, University of Minnesota; Yong Chen, University of Pennsylvania; Haitao CHU, the University of Minnesota Twin Cities
8:	Testing Association in Stratified 2×2 Contingency Tables Using Multiple Comparison Methods Sanduni Pathum Laksara Palliyage, Western Michigan University; Magdalena Niewiadomska-Bugaj, Western Michigan University
9:	Analysis of the Relationship Between Blood Pressure and Weather Measures in 52,558 Taiwan Residents Chien-Hsiun Chen, IBMS, Academia Sinica; HOU-REN CHEN, Taipei Municipal Jianguo High School; Chih-Chieh Wu, National Cheng Kung University; Yi-Shan Tung, Taipei Municipal Jianguo High School; Pui-Yan Kwok, IBMS, Academia Sinica
10:	Variable Selection for High-Dimensional Balanced Propensity Scores Yumin Huang, Tunghai University
11:	Sensitivity of the Proportion Mediated Estimate to Mediator Modeling Strategies in Causal Mediation Analysis: An Empirical Example Kazuki Yoshida, Brigham and Women's Hospital; Daniel H. Solomon, Brigham and Women's Hospital; Robert Glynn, Brigham and Women's Hospital
12:	A Spatial Case-Crossover Analysis of the Distribution of Heat-Related Hospitalizations in California Kristen Hansen, University of California-San Diego
13:	Restricted Cubic Spline to Model Relationship Between Time to Treatment with Survival for Oral Cavity Cancer SONGZHU ZHAO, OSU; Lai Wei, OSU ; steve Kang, OSU ; Rygalski Chandler, OSU
14:	Validation of Total Knee or Hip Arthroplasty Between Electronic Health Records and Insurance Claims Jordan Westra
15:	A Bayesian Model for Correlated Zero-Inflated Count Data Tingting Zhou, FDA
16:	Latent Mixture Model for Mendelian Randomization Daniel Iong, University of Michigan; Yang Chen, University of Michigan; Qingyuan Zhao, University of Cambridge
17:	Bayesian Frailty Models for Eye Tracking Experiments David Angeles, Ohio State Univ
18:	Estimation of Manufacturing-Related Workplace Injury Risk Through a Point-Based Risk Score Prediction Model Hannah E. Fuchs, American University; Elizabeth J. Malloy, American University; Jay M. Kapellusch, University of Wisconsin-Milwaukee
19:	Effect of Model Misspecification on Regression Calibration Adjustment for Measurement Error Eunyoung Park, University of Pennsylvania; Daniela Sotres-Alvarez, University of North Carolina at Chapel Hill; Paul Gustafson, University of British Columbia; Laurence S Freedman, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center; Victor Kipnis, National Cancer Institute; Pamela A Shaw , University of Pennsylvania Perelman School of Medicine
20:	Power and Sample Size for the Test Negative Design Yanan Huo; Natalie Dean, University of Florida
21:	A Multiplicative Weighted Cox Model for Relative Mortality Analysis John Michael Williamson, Centers for Disease Control and Prevention; Hung-Mo Lin, Icahn School of Medicine at Mount Sinai; Hae-Young Kim, New York Medical College
22:	Integrating Mediation and Moderation Analysis in Examining the Effects of Mixtures of Exposures on Health Outcomes Li Luo, University of New Mexico
23:	Do Population-Level Differences in Food Environment Near Schools Explain Population-Level Trends in Child Obesity Disparities? Kelsey Alexovitz, Drexel University; Brisa Sanchez, Drexel University; Emma V. Sanchez-Vaznaugh, San Francisco State University; Mika Matsuzaki, San Francisco State University
24:	Sparse Partial Least Squares Regression for the Cox Proportional Hazards Model Natalie Gasca, University of Washington; Robyn McClelland, University of Washington

104 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Survival Analysis in Causal Inference Studies — Invited Papers
Lifetime Data Science Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Jialiang Li, National University of Singapore
Chair(s): Mei-Ling Ting Lee, University of Maryland
1:05 PM	Targeted Learning and Survival Analysis Presentation Mark Van der Laan, University of California, Berkeley
1:25 PM	Honest Inference for Conditional Causal Hazard Ratios After Selection of High-Dimensional Confounders Kelly Van Lancker, Ghent University; Oliver Dukes, Ghent University; Stijn Vansteelandt, Ghent University and LSHTM
1:45 PM	Causal Inference and Competing Risk Data Torben Martinussen, University of Copenhagen
2:05 PM	Detecting Individual-Level 'Always Survivor' Causal Effects Under 'Truncation by Death' and Censoring Through Time Presentation Jaffer Zaidi, University of North Carolina, Chapel Hill; Eric Tchetgen Tchetgen, University of Pennsylvania; Tyler VanderWeele, Harvard T.H. Chan School of Public Health
2:25 PM	A General Approach of Assessing the Bias of 2 Stage IV Models for Survival Outcomes Fei Wan, Washington University in St. Louis
2:45 PM	Floor Discussion

108 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Can't Shake That Feeling That You're Missing Something? — Invited Papers
Health Policy Statistics Section, Section on Statistics in Epidemiology, Academy for Health Services Research and Health Policy
Organizer(s): Lane Burgette, RAND Corporation
Chair(s): Joseph Pane, RAND
1:05 PM	The E-Value: Sensitivity Analyses for Unmeasured Confounding in Studies and Meta-Analyses Maya Mathur, Stanford University
1:25 PM	Bootstrapping Sensitivity Analysis for Inverse Probability Weighting Estimators Qingyuan Zhao, University of Cambridge; Dylan Small, University of Pennsylvania; Bhaswar Bhattarcharya, University of Pennsylvania
1:45 PM	Efficient Sensitivity Analysis for Propensity Score Weighting Lane Burgette, RAND Corporation; Beth Ann Griffin, RAND; Joseph Pane, RAND; Daniel F McCaffrey, ETS
2:05 PM	The uniform general signed rank test and its design sensitivity Presentation Samuel Pimentel, University of California, Berkeley; Steven R. Howard, The Voleon Group
2:25 PM	Discussant: Beth Ann Griffin, RAND
2:45 PM	Floor Discussion

130 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Advances in Resource Allocation for Epidemic Control: Estimation, Optimization, and Counterfactuals — Topic Contributed Papers
Section on Statistics in Epidemiology, Health Policy Statistics Section, Section on Physical and Engineering Sciences
Organizer(s): Soheil Eshghi, Yale School of Public Health
Chair(s): David Kline, Ohio State University
1:05 PM	Testing Infection Graphs Justin Khim, Carnegie Mellon Univ
1:25 PM	The Cost of Uncertainty in Curing Epidemics Jessica Hoffmann, University of Texas At Austin
1:45 PM	Large-Scale Epidemic Control via Matrix Balancing Van Sy Mai, National Institute of Standards and Technology; Abdella Battou, National Institute of Standards and Technology
2:05 PM	Optimal Resource Allocation for Containment of Epidemics Jorge Francisco Barreras, University of Pennsylvania; Victor Miguel Preciado, University of Pennsylvania
2:25 PM	Dynamic Policy Counterfactuals: Evaluating Contact-Tracing in the EVD Outbreak in Liberia 2014-16 Soheil Eshghi, Yale School of Public Health; Forrest W. Crawford, Yale University
2:45 PM	Floor Discussion

149 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Generating Data for the Public Good While Adhering to Confidentiality and Privacy Restrictions — Invited Papers
Health Policy Statistics Section, Government Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Roee Gutman, Brown University
Chair(s): Mingyang Shan, Eli Lilly and Company
10:05 AM	Challenges of Propagating Record Linkage Uncertainty into Subsequent Analyses Mauricio Sadinle, University of Washington
10:25 AM	A Bayesian Multi-Layered Record Linkage Procedure to Analyze Functional Status of Medicare Patients with Traumatic Brain Injury Mingyang Shan, Eli Lilly and Company; Kali Thomas, Brown University; Roee Gutman, Brown University
10:45 AM	A Simple Strategy for Detecting Biases from Linkage Failures When Merging Different Data Sources Presentation Joerg Drechsler, Institute for Employment Research; Johann Eppelsheimer, Institute for Employment Research; Joe Sakshaug, Institute for Employment Research
11:05 AM	Risk-Efficient Bayesian Data Synthesis for Privacy Protection Jingchen (Monika) Hu, Vassar College; Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation
11:25 AM	Discussant: Ofer Harel, University of Connecticut
11:45 AM	Floor Discussion

166 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Understanding Mixtures in Environmental Epidemiology — Topic Contributed Papers
Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Katherine Ensor, Rice University
Chair(s): Katherine Ensor, Rice University
10:05 AM	Bayesian Joint Modeling of Chemical Structure and Dose Response Curves Presentation Kelly R. Moran, Duke University; Amy Herring, Duke University; David Dunson, Duke University
10:25 AM	Principal Component Pursuit for Pattern Identification in Environmental Health Elizabeth A Gibson, Columbia University, Dept of Environmental Health Sciences; Jingkai Yan, Columbia University, Data Science Institute; Robert Colgan, Columbia University, Data Science Institute; John Wright, Columbia University, Data Science Institute; Jeff Goldsmith, Columbia University Mailman School of Public Health; Marianthi-Anna A Kioumourtzoglou, Columbia University, Dept of Environmental Health Sciences
10:45 AM	Estimation of the Total Main and Interaction Effects of a Mixture of Pollutants. Hua Yun Chen, University of Illinois At Chicago; Xuelong Wang, University of Illinois at Chicago; Mary Turyk, University of Illinois at Chicago; Maria Argos, University of Illinois at Chicago; Vectoria Persky, University of Illinois at Chicago
11:05 AM	A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies Jeremiah Liu; Brent Coull, Harvard University
11:25 AM	Discussant: Bonnie R. Joubert, NIH/NIEHS Population Health Branch and Epidemiology
11:45 AM	Floor Discussion

169 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Estimating Heterogeneity in Treatment Effects in Complex Real World Settings — Topic Contributed Papers
Health Policy Statistics Section, Social Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Lyle Ungar, University of Pennsylvania
Chair(s): Lyle Ungar, University of Pennsylvania
10:05 AM	Estimating Optimal Treatment Rules with an Instrumental Variable: A Partial Identification Learning Approach Hongming Pu, University of Pennsylvania; Bo Zhang, Univ of Pennsylvania
10:25 AM	WITHDRAWN Personalizing Treatments for Habit Formation: Learning Optimal Treatment Rules from a Multi-Arm Experiment Rahul Ladhania
10:45 AM	WITHDRAWN The Value of Personalized Medicine: Treatment Effect Heterogeneity in the Treatment of Advanced Heart Failure Jeffrey Scott McCullough, University of Michigan; Sriram Somanchi, University of Notre Dame
11:05 AM	Floor Discussion

172	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Prediction and Misclassification in Biomedical Research — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Pamela A Shaw , University of Pennsylvania Perelman School of Medicine
	A Two-Stage Sampling Approach to Improve Suboptimality in EHR-Based Study Designs Arielle Marks-Anglin; Yong Chen, University of Pennsylvania; Chongliang Luo, University of Pennsylvania
	Individual-Level Estimation of HIV Recency Using Biomarkers and Auxiliary Variables Ben Sheng, Pennsylvania State University; Le Bao, Penn State University; Runze Li, Pennsylvania State University
	Linear Mixed Model Vs Two-Stage Methods for Developing Prognostic Models for Kidney Function Decline Brian Kwan, University of California, San Diego; Loki Natarajan, University of California, San Diego
	Organic Direct and Indirect Effects with Mediator Values Below a Limit of Detection Ariel Chernofsky, Boston University School of Public Health; Ronald Bosch, Center for Biostatistics in AIDS Research, Harvard School of Public Health; Judith Lok, Boston University Department of Mathematics & Statistics
	Practical Considerations When Building Prediction Equations for Blood Concentration Markers: Lessons Learned from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Lillian Boe, University of Pennsylvania; Pamela A Shaw , University of Pennsylvania Perelman School of Medicine; Daniela Sotres-Alvarez, University of North Carolina at Chapel Hill; Martha Daviglus, University of Illinois College of Medicine; Robert Kaplan, Albert Einstein College of Medicine; and Fred Hutchinson Cancer Research Center; Yasmin Mossavar-Rahmani, Albert Einstein College of Medicine; Ramon A Durazo-Arvizu, University of Illinois College of Medicine
	A Placement Value-Based ROC Surface Regression Approach to Evaluate Diagnostic Capacity of a Biomarker in Predicting Diseases with Three Categories Soutik Ghosal, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Katherine Grantz, Eunice Kennedy Shriver National Institutes of Child Health and Human Development; Zhen Chen, NICHD/NIH
	Risk Estimation for Left- and Interval-Censored Incident Disease in the Presence of Measurement Error Li Cheung, US National Cancer Institute
	A Look at COVID-19 Data Shiju Zhang, St Cloud State University; Cheng Peng, West Chester University of Pennsylvania

234	Tue, 8/4/2020, 12:00 PM - 1:00 PM	Virtual
Section on Statistics in Epidemiology P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Section on Statistics in Epidemiology
TL09:	Artificial Intelligence and Statistics Michael R. Kosorok, University of North Carolina at Chapel Hill
TL10:	Causal Inference in Environmental Epidemiology Corwin Zigler, University of Texas at Austin

244 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in Causal Inference with Applications for the Public Good — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, Health Policy Statistics Section, Biopharmaceutical Section
Organizer(s): Fan Yang, University of Colorado Anschutz Medical Campus
Chair(s): Fan Yang, University of Colorado Anschutz Medical Campus
1:05 PM	Assessing Surrogate Paradox Risk in the Meta-Analytic Causal Association Framework Michael R Elliott, University of Michigan; Jeremy Taylor, University of Michigan; Yun Li, University of Pennsylvania Perelman School of Medicine & The Children’s Hospital of Philadelphia; Anna Conlon, University of Michigan; Nico Kaciroti, University of Michigan
1:30 PM	Tobacco Use Epidemic: Understanding Its Public Impact in the New Era Jing Cheng, University of California, San Francisco
1:55 PM	Experimental Evaluation of Computer-Assisted Human Decision Making: Application to Pretrial Risk Assessment Instrument Kosuke Imai, Harvard University; Zhichao Jiang, University of Massachusetts, Amherst; James Greiner, Harvard Law School; Ryan Halen, Harvard Law School; Sooahn Shin, Harvard University
2:20 PM	Causal Ball Screening: Outcome Model-Free Causal Inference with Ultra-High-Dimensional Covariates Dingke Tang, University of Science and Technology China; Dehan Kong, University of Toronto; Wenliang Pan, Sun Yat-Sen University; Linbo Wang, University of Toronto
2:45 PM	Floor Discussion

319	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Innovative Approaches to the Study of an Epidemic — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Soheil Eshghi, Yale School of Public Health
	Survival Dynamical Systems: Individual-Level Survival Analysis from Population-Level Epidemic Models Wasiur KhudaBukhsh, Ohio State University, Mathematical Biosciences Institute; Boseung Choi, Korea University; Eben Kenah, The Ohio State University; Grzegorz Rempala, The Ohio State University
	Ensemble Forecasting of the Zika Space-Time Spread with Topological Data Analysis Presentation Marwah Soliman, University of Texas At Dallas; Vyacheslav Lyubchich , University of Maryland; Yulia Gel, University of Texas at Dallas
	Estimation of the Generation Interval Using Pair-Wise Relative Transmission Probabilities Sarah Leavitt, Boston University; Helen E Jenkins, Boston University; Paola Sebastiani, Boston University; Robyn S Lee, University of Toronto; C. Robert Horsburg, Boston University; Andrew M Tibbs, Massachusetts Department of Public Health; Laura F. White, Boston University
	Early Detection of Flu Season by Applying a Modified Bayesian Online Change Point Detection to Real-Time Flu Data Obtained from the AutoRegression with General Online Data Model Jialiang Liu, University of North Texas Health Science Center; Sumihiro Suzuki, University of North Texas Health Science Center
	Ebolavirus Transmissibility in the 2018–2020 Kivu Epidemic James P. Howard, II, Johns Hopkins Applied Physics Laboratory
	A Linear Noise Approximation for Stochastic Epidemic Models Fit to Partially Observed Incidence Counts Jonathan Fintzi, Biostatistics Research Branch, NIAID; Jon Wakefield, Departments of Biostatistics and Statistics, University of WAshington; Vladimir Minin, Department of Statistics, University of California, Irvine
	Bayesian Hierarchical Modeling of Individual Disease Progression for Subjects with Leprosy Uchechukwu Nwoke, University of Iowa

388 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Advances in Disease Mapping — Invited Papers
Section on Statistics in Epidemiology, American Public Health Association
Organizer(s): Jakob A. Dambon, University of Zurich
Chair(s): Jakob A. Dambon, University of Zurich
1:05 PM	Multivariate Latent Structure Modeling of Spatio-Temporal Health Data Presentation Andrew Lawson, Medical University of South Carolina; Daniel Baer, Medical University of South Carolina
1:20 PM	The role of socioeconomic status, environment, and temperature in the spatio-temporal distribution of the first Chikungunya epidemic in the city of Rio de Janeiro, Brazil Alexandra Schmidt, McGill University
1:35 PM	Bayesian Multivariate Analysis of Disease, with Application to the Australian Cancer Atlas Susanna Cramb, Queensland University of Technology; Kerrie Mengersen, Queensland University of Technology
1:50 PM	Disease Mapping Using Spatially Continuous Models for Aggregated Data Patrick E Brown, University of Toronto; Jamie Stafford, University of Toronto
2:05 PM	Linking Zoonotic Surveillance and Environmental Variables in Disease Ecology Lance Waller, Emory University
2:20 PM	A Bayesian hierarchical approach to calculate long-term exposure to air-pollution and COVID19 mortality: A nationwide study in England Garyfallos Konstantinoudis, Imperial College London; Tullia Padellini, Imperial College London; Marta Blangiardo, Imperial College London
2:35 PM	Floor Discussion

407 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Emerging Methods in Sports Injury Research: Strategies for Shifting the Paradigm — Topic Contributed Papers
Section on Statistics in Sports, Section on Statistics in Epidemiology
Organizer(s): Avinash Chandran, University of North Carolina at Chapel Hill; Sarah N Morris, Datalys Center for Sports Injury Research and Prevention
Chair(s): Katherine Evans
1:05 PM	Reconciling the Dynamics Between Sports-Related Injury Severity and Recovery Using Time Loss Avinash Chandran, Datalys Center for Sports Injury Research and Prevention; Loretta DiPietro, The George Washington University; Heather Young, The George Washington University; Angelo Elmi, The George Washington University
1:25 PM	Return to Play Probabilities and the Assessment of Factors Associated with Recovery After Lower Extremity Injury in College Basketball Sarah N Morris, Datalys Center for Sports Injury Research and Prevention; Avinash Chandran, Datalys Center for Sports Injury Research and Prevention; Christy L Collins, Datalys Center for Sports Injury Research and Prevention
1:45 PM	Exploring Symptom Profiles and Severity, and Their Relation to Recovery Among Student Athletes in the Ivy League-Big Ten Epidemiology of Concussion Study Bernadette Anne D'Alonzo, University of Pennsylvania, School of Medicine; Douglas J Wiebe, University of Pennsylvania, School of Medicine
2:05 PM	Utilizing a Mixed Effects Model to Assess Risk of Surgery for Sport-Related AC Joint Injuries After Primary Treatment with Platelet Rich Plasma in the United States Charlotte Baker, Virginia Tech; Medina Etemadi, Virginia Tech; Mariam Farzayee, Virginia Tech; Malik Outram, Virginia Tech; Heather Pieno, Virginia Tech; Sam Miller, Virginia Tech; Matthew Baskette, Virginia Tech
2:25 PM	Advancing Injury Risk Models Using Sensor-Based and Athlete Wellness Metrics Jay Hertel, University of Virginia; Natalie Kupperman, University of Virginia
2:45 PM	Floor Discussion

416 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Collaboration in Data Science: How Biostatisticians and Epidemiologists Contribute to the Creation of Real World Evidence — Topic Contributed Panel
Section on Statistics in Epidemiology, Biopharmaceutical Section
Organizer(s): Rachael DiSantostefano, Janssen R&D, LLC
Chair(s): Jenna Krall, George Mason University
1:05 PM	Careers in Data Science: How Biostatisticians and Epidemiologists Collaborate in the Creation of Real-World Evidence
Panelists:	Rachael DiSantostefano, Janssen R&D, LLC Charles Hall, Albert Einstein College of Medicine Rebecca A Hubbard, University of Pennsylvania Jessica Chubak, Kaiser Permanente Washington Health Research Institute Pallavi Mishra-Kalyani, US FDA Therri Usher, FDA
2:40 PM	Floor Discussion

425 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Novel Methods for Analyzing Genetic and Genomic Data on Complex Diseases — Invited Papers
Section on Statistics in Genomics and Genetics, Biopharmaceutical Section, Section on Statistics in Epidemiology
Organizer(s): Jichun Xie, Duke University
Chair(s): Jichun Xie, Duke University
10:05 AM	CCmed for Identifying Robust Trans-EQTLs and Assessing Their Effects on Human Traits Fan Yang, University of Colorado Anschutz Medical Campus; Kevin Gleason, University of Chicago; Jiebiao Wang, University of Pittsburgh; Jubao Duan, University of Chicago; Xin He, University of Chicago; Brandon Pierce, University of Chicago; Lin Chen, University of Chicago
10:35 AM	Statistical Analysis of Spatial Expression Pattern for Spatially Resolved Transcriptomic Studies Xiang Zhou, University of Michigan; Jiaqiang Zhu, University of Michigan ; Shiquan Sun, University of Michigan
11:05 AM	Floor Discussion

430 * !	Thu, 8/6/2020, 10:00 AM - 11:50 PM	Virtual
Challenges and Recent Advances in High-Dimensional Mediation Analysis — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, ENAR
Organizer(s): Peng Wei, The University of Texas MD Anderson Cancer Center
Chair(s): Tianzhong Yang, University of Minnesota
10:05 AM	Variance Component Tests of Multivariate Mediation Effects Under Composite Null Hypotheses Yen-Tsung Huang, Academia Sinica
10:35 AM	Group Testing in Mediation Analysis Joshua Sampson, National Cancer Institute; Andriy Derkach, Memorial Sloan Kettering Cancer Center; Simina Boca, Georgetown University
11:05 AM	Mediation Analysis of Multiple Time Series Xi Luo, University of Texas Health Science Center at Houston; Yi Zhao, Indiana University
11:50 AM	Discussant: Peng Wei, The University of Texas MD Anderson Cancer Center
11:35 AM	Floor Discussion

434 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Robust and Efficient Inferences in Observational Studies and from Nonrandom Samples — Invited Papers
Government Statistics Section, Survey Research Methods Section, Section on Statistics in Epidemiology
Organizer(s): Vladislav Beresovsky, National Center for Health Statistics
Chair(s): Katherine Irimata, National Center for Health Statistics
10:05 AM	Semiparametric Inference for Non-Monotone Missing-Not-At-Random Data: The No Self-Censoring Model Daniel Malinsky, Johns Hopkins University; Ilya Shpitser, Johns Hopkins University; Eric Tchetgen Tchetgen, University of Pennsylvania
10:30 AM	Robust Inference for Non-Probability Samples When a Benchmark Survey with a Complex Design Is Present: A Synthetic Population Approach with Non-Parametric Bayesian Modeling Ali Rafei, University of Michigan; Michael R Elliott, University of Michigan; Carol Flannagan, Transportation Research Institute, University of Michigan
10:55 AM	Variable Selection in Causal Inference with a Binary Outcome Brandon Koch, University of Nevada, Reno; Laura Johnson, University of Nevada, Reno; Hank Green, Indiana University ; Erin Pullen, Indiana University; Karla Wagner, University of Nevada, Reno
11:20 AM	Having a Cake and Eating it Too – Robust and Efficient Estimation by Benchmarking Web Samples to Probability Survey Samples Presentation Vladislav Beresovsky, National Center for Health Statistics
11:45 AM	Floor Discussion

442 *	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Methods for Single-Cell and Microbiome Sequencing Data — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology
Organizer(s): Himel Mallick, Merck Research Laboratories
Chair(s): Himel Mallick, Merck Research Laboratories
10:05 AM	Statistical Methods for Clustered Microbiome Data Zheng-Zheng Tang, University of Wisconsin-Madison; Guanhua Chen, University of Wisconsin-Madison
10:25 AM	Statistical Analysis of Coupled Single-Cell RNA-Seq and Immune Profiling Data Hongkai Ji, Johns Hopkins Univ, Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health
10:45 AM	Integrative Differential Expression and Gene Set Enrichment Analysis Using Summary Statistics for Single Cell RNAseq Studies Ying Ma, University of Michigan; Xiang Zhou, University of Michigan; Shiquan Sun, University of Michigan
11:05 AM	Learning Directed Acyclic Graphs Integrating Bulk Tumor and Single Cell RNAseq Data Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai; Jie Peng, University of California Davis; Pei Wang, Icahn Medical School at Mount Sinai
11:25 AM	A Hierarchical Model for Microbial Abundance Observations Siyuan Ma, Harvard University
11:45 AM	Floor Discussion

460	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Causal Methods for Discovery, Confirmation and Mechanistic Evaluation — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Kazuki Yoshida, Brigham and Women's Hospital
	On Variance of the Average Treatment Effect in the Treated When Using Inverse Probability Weighting Sarah Reifeis, University of North Carolina at Chapel Hill; Michael Hudgens, UNC
	Gaussian Prepivoting for Finite Population Causal Inference Peter Cohen, Massachusetts Institute of Technology; Colin Fogarty, Massachusetts Institute of Technology
	A Bayesian Approach to Assessing Publication Bias in Meta-Analysis of a Binary Outcome with Controlled False Positive Rate Linyu Shi, Florida State University; Haitao CHU, the University of Minnesota Twin Cities; Lifeng Lin, Florida State University
	Step-Adjusted Tree-Based Reinforcement Learning (SAT-Learning) for Evaluating Nested Dynamic Treatment Regimes in Test-And-Treat Observational Studies Ming Tang, University of Michigan; Lu Wang, University of Michigan; Jeremy Taylor, University of Michigan; Michael Gorin, Johns Hopkins University
	High-Sensitivity C-Reactive Protein and Risk of Fracture: A Meta-Analysis of Prospective Studies Qing Wu, University of Nevada, Las Vegas; Heejin Mun, UNLV; Bowen Liu, UNLV; Thu Huynh Anh Pham, UNLV
	Efficient Semiparametric Estimation of Network Treatment Effects Under Partial Interference Chan Park, University of Wisconsin-Madison; Hyunseung Kang, University of Wisconsin-Madison
	Improving the Estimation of Total Effects When Direct Effects Are Provided in a Meta-Analysis Colleen Chan, Department of Statistics and Data Science, Yale University; Tonatiuh Barrientos Gutierrez, Instituto Nacional de Salud Pública; Rodrigo Zepeda, Instituto Nacional de Salud Pública; Dalia Camacho García Formentí, Instituto Nacional de Salud Pública; Rodrigo Barran, Instituto Nacional de Salud Pública; Rossana Torres Alvarez, Instituto Nacional de Salud Pública; Dalia Stern-Solodkin, Instituto Nacional de Salud Pública; Donna Spiegelman, Department of Biostatistics, Yale School of Public Health
	Dynamic Semiparametric Regression Models for Continuous Time Causal Mediation Analysis Jeffery M Albert, Case Western Reserve University; Tanujit Dey, Harvard Medical School and Brigham and Women's Hospital; Jiayang Sun, USDA and George Mason University; Wojbor Woyczynski, Case Western Reserve University; Meeyoung Min, The University of Utah
	Randomized Experiments for Causal Effects Under Privacy Manjusha Kancharla, University of Wisconsin-Madison; Hyunseung Kang, University of Wisconsin-Madison
	Doubly Robust Causal Inference Using Doubly-Matched Estimators Presentation Ruifeng Chen, University of California, San Diego; Karen Messer, University of California, San Diego
	Measuring and Mapping Obesogenic Environments with Composite Indices in Fairfax County, Virginia Quinton Neville, Columbia University Department of Biostatistics; Teja Pristavec, University of Virginia Biocomplexity Institute, Social and Decision Analytics Lab; Josh Goldstein, University of Virginia Biocomplexity Institute, Social and Decision Analytics Lab
	Optimal Transport Weights for Causal Inference Presentation Eric Dunipace, Harvard University; Jose Zubizarreta

461	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Design and Analytic Approaches to Address Unmeasured Confounding — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Jesse Hsu, University of Pennsylvania
	Nonparametric Instrumental Variable Estimators for Survival Outcomes Youjin Lee, University of Pennsylvania; Edward Kennedy, Carnegie Mellon University; Nandita Mitra, University of Pennsylvania
	WITHDRAWN: a Semi-Supervised Learning Approach to Estimating Op-Timal Treatment Rules with a Valid Instrumental Variable:Methodology, Computation, and Theory Bo Zhang, Univ of Pennsylvania; Hongming Pu, University of Pennsylvania
	Reducing Bias in the Test-Negative Design Iuliana Ciocanea-Teodorescu, Karolinska Institute; Martha Nason, NIAID, NIH; Arvid Sjölander, Karolinska Institute; Erin Gabriel, Karolinska Institute
	Instrumental Variables: To Strengthen or Not to Strengthen? Siyu Heng, University of Pennsylvania; Bo Zhang, Univ of Pennsylvania; Xu Han, Temple University; Scott A. Lorch, University of Pennsylvania; Dylan Small, University of Pennsylvania
	Semiparametric Maximum Likelihood Estimation with Two-Phase Stratified Case-Control Sampling Yaqi Cao, University of Pennsylvania; Lu Chen, Swarthmore College; Mitchell H. Gail, National Cancer Institute; Jinbo Chen, University of Pennsylvania
	An Omitted Variable Bias Framework for Sensitivity Analysis of Instrumental Variables Carlos Cinelli, UCLA; Chad Hazlett, UCLA
	Sensitivity Analyses of Unmeasured and Partially Measured Confounders Using an Imputation Approach in Vaccine Safety Studies Stan (Xuesheng) Xu, Institute for Health Research, Kaiser Colorado; Christina Clarke, Institute for Health Research, Kaiser Colorado; Sophia Newcomer, University of Montana, School of Public and Community Health Sciences; Matthew Daley, Institute for Health Research, Kaiser Colorado; Jason Glanz, Institute for Health Research, Kaiser Colorado
	Is Anemia Prevalence a Good Proxy for Malaria Prevalence for Children? a Community-Level Perspective via Matched Logistic Regression Presentation Emily Diana, University of Pennsylvania; Shuxiao Chen, University of Pennsylvania; Sheng Gao, University of Pennsylvania; Siyu Heng, University of Pennsylvania; Hongming Pu, University of Pennsylvania; Dylan Small, University of Pennsylvania; Hua Wang, University of Pennsylvania, Statistics Department of Wharton
	Operationalizing a Definition of Statistical Convergence in the Context of Meta-Analysis Hayley Belli, New York University School of Medicine; Ellen Caniglia, New York University School of Medicine; Scott Braithwaite, New York University School of Medicine; Andrea Troxel, New York University School of Medicine
	Association Analysis Under Latent Population Heterogeneity Linchen He, New York University; Yongzhao Shao, New York University School of Medicine

462	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Novel Spatial and Spatio-Temporal Models in Public Health — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Abhi Datta, Johns Hopkins University
	Detecting Disease Clusters Across Space and Time Using Model Averaging Maria Kamenetsky, University of Wisconsin-Madison; Ronald Gangnon, University of Wisconsin-Madison
	Recognizing Differential Incidence Intensity of Geographical Disease Clusters Allowing for Confounding Variables Chih-Chieh Wu, National Cheng Kung University; Sanjay Shete , The University of Texas MD Anderson Cancer Center
	Treed Distributed Lag Nonlinear Models Daniel Mork, Colorado State University; Ander Wilson, Colorado State University
	A Bayesian Hierarchical Model for Estimating Personal Exposure to Traffic-Related Air Pollution Using Personal and Ambient Data Jenna Krall, George Mason University
	A Bayesian Spatio-Temporal Abundance Model for Surveillance of the Opioid Epidemic David Kline, Ohio State University; Lance Waller, Emory University; Staci Hepler, Wake Forest University
	Measuring Cumulative Exposure to Extensive Environmental Hazards Rob Trangucci
	An Individual Level Infectious Disease Model in the Presence of Uncertainty from Multiple, Imperfect Diagnostic Tests Caitlin Ward, University of Iowa; Grant Brown, University of Iowa; Jacob J Oleson, University of Iowa, Department of Biostatistics
	Modeling Regional Disease Spread Over Time Using a Dynamic Spatio-Temporal Model -- with an Application to Porcine Epidemic Diarrhea Virus Data in Iowa, U.S Ju Ji, Iowa State University; Chong Wang, Iowa State University; Jeffrey J Zimmerman, Iowa State University; Marisa L Rotolo, Iowa State University

521 *	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Advances in Methods and Novel Applications for Data with Hierarchies and Under/Over-Dispersion — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, ENAR
Organizer(s): Heejung Bang, Division of Biostatistics, University of California
Chair(s): Heejung Bang, Division of Biostatistics, University of California
1:05 PM	Handling Negative Correlation and/or Over/Underdispersion in Gaussian and Non-Gaussian Hierarchical Data Geert Molenberghs, Universiteit Hasselt & KU Leuven
1:30 PM	Overdispersion Models for Correlated Multinomial Data: Applications to Blinding Assessment Victoria Landsman, Institute for Work and Health
1:55 PM	Meta-Analysis of Summary Statistics from K X M Tables Accounting for Over-Dispersion Majnu John, Northwell Health/Hofstra; Heejung Bang, Division of Biostatistics, University of California; Victoria Landsman, University of Toronto
2:20 PM	Analyzing Continuous Longitudinal Response Data with Ordinal Regression Models Bryan E Shepherd, Vanderbilt University; Yuqi Tian, Vanderbilt University; Jonathan Schildcrout, Vanderbilt University
2:45 PM	Floor Discussion

526 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Novel Identification Frameworks for Causal Inference with Interference — Invited Papers
ENAR, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Xiaoxuan Cai, Yale University
Chair(s): Forrest W. Crawford, Yale University
1:05 PM	Identification of Causal Diffusion Effects Under Structural Stationarity Naoki Egami, Princeton University
1:30 PM	Identification of Causal Effects Under Contagion Presentation Xiaoxuan Cai, Yale University; Forrest W. Crawford, Yale University; Wen Wei Loh, University of Ghent
1:55 PM	Network Dependence and Confounding by Network Structure Can Lead to Invalid Inference Elizabeth Ogburn, Johns Hopkins Bloomberg School of Public Health; Youjin Lee, University of Pennsylvania
2:20 PM	Identification and Estimation of Causal Effects from Dependent Data Ilya Shpitser, Johns Hopkins University; Eli Sherman, Johns Hopkins University
2:45 PM	Floor Discussion

540 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Methods for Adolescent HIV Trials — Topic Contributed Papers
Biometrics Section, ASA LGBTQ+ Advocacy Committee, Section on Statistics in Epidemiology
Organizer(s): Matthew Loop, UNC
Chair(s): Michael Hudgens, UNC
1:05 PM	Hidden Markov Models to Detect SMS Survey Compliance Patterns of Youth at High Risk for Acquiring HIV Enrolled in an MHealth Intervention Warren Comulada, UCLA; Heather J Gunn, UCLA; Dallas Swendeman, UCLA
1:25 PM	Design and Analysis Considerations for a Sequentially Randomized HIV Prevention Trial David Benkeser, Emory University; Keith Horvath, University of California, San Diego; Cathy J Reback, Friends Research Institute; Joshua Rusow, Friends Research Institute; Michael Hudgens, UNC
1:45 PM	Using Multiple Imputation to Account for Uncertainty in Summary Scores Derived from Likert Scale Survey Items Evan Kwiatkowski, University of North Carolina At Chapel Hill
2:05 PM	Regression with biomarkers subject to upper limits of detection Kevin Donovan
2:25 PM	Floor Discussion

545	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Machine Learning and Nonparametric Methods in Causal Inference — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, Health Policy Statistics Section
Organizer(s): Ted Westling, University of Massachusetts Amherst
Chair(s): Marco Carone, Department of Biostatistics, University of Washington
1:05 PM	Efficient Estimation of Stochastic Intervention Effects in Causal Mediation Analysis Nima Hejazi, UC Berkeley; Iván Díaz, Weill Cornell Medicine; Mark Van der Laan, University of California, Berkeley
1:25 PM	Far from MCAR: Obtaining Population-Level Estimates of HIV Viral Suppression Laura B. Balzer, UMass Amherst; SEARCH Collaboration, Makerere University - UC San Francisco
1:45 PM	Nonparametric Tests of the Causal Null with Non-Discrete Exposures Ted Westling, University of Massachusetts Amherst
2:05 PM	Sensitivity Analysis via the Proportion of Unmeasured Confounding Matteo Bonvini, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University
2:25 PM	Two-Stage Super Learner for Predicting Healthcare Expenditures Ziyue Wu, Emory University; David Benkeser, Emory University; Seth Berkowitz, The University of North Carolina at Chapel Hill
2:45 PM	Floor Discussion

556 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Causal Inference for Complex Data Challenges — Invited Papers
SSC (Statistical Society of Canada), Health Policy Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Linbo Wang, University of Toronto
3:05 PM	Weighting Methods to Account for Covariate-Informed Monitoring Times Erica E M Moodie, McGill University; Janie Coulombe, McGill University; Robert Platt, McGill University
3:30 PM	Bayesian Approaches to Causal Inference: Some Comments on the Present Position and the Path Ahead Paul Gustafson, University of British Columbia
3:55 PM	Causal Inference at Large Scale Ride-Hailing Two Sided Platforms SHIKAI LUO, Didi Chuxing
4:20 PM	A Model for Effect Modification Using Targeted Learning with Observational Data Arising from Multiple Studies Mireille Schnitzer, Université de Montréal; Yan Liu, McGill University; Dick Menzies, McGill University Health Centre; Edward Kennedy, Carnegie Mellon University; Andrea Benedetti, McGill University
4:45 PM	Floor Discussion

563 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Statistical Methods for State Health Policy Evaluation — Invited Papers
Health Policy Statistics Section, Mental Health Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
Chair(s): Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
3:05 PM	Evaluating Methods to Estimate the Effect of State Laws on Opioid-Related Outcomes in the Presence of Selection Bias Beth Ann Griffin, RAND
3:30 PM	Partial Identification in Difference-In-Difference Designs When the Parallel Trends Assumption Fails Raiden Hasegawa, Google; Dylan Small, University of Pennsylvania; Luke Keele, University of Pennsylvania; Daniel Webster, Bloomberg School of Public Health, Johns Hopkins University
3:55 PM	Synthetic Controls and Weighted Event Studies with Staggered Adoption Avi Feller, UC Berkeley; Eli Ben-Michael, UC Berkeley; Jesse Rothstein, UC Berkeley
3:20 PM	Discussant: Laura Hatfield, Harvard Medical School
3:45 PM	Floor Discussion

572 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Addressing Complications in Causal Inference — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, ENAR
Organizer(s): Chris Matt Manuel, Texas A&M University - Department of Statistics; Samiran Sinha, Texas A&M
Chair(s): Yang Ni, Texas A&M University
3:05 PM	A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity Yifan Cui, University of Pennsylvania; Eric Tchetgen Tchetgen, University of Pennsylvania
3:25 PM	Addressing Misclassification Bias of an Exposure Variable with Multiple Categories Samiran Sinha, Texas A&M; Chris Matt Manuel, Texas A&M University - Department of Statistics; Suojin Wang, Texas A & M University
3:45 PM	A Comparison of Singly and Multiply Robust Methods for Causal Inference in Failure Time Analyses Lan Wen; Miguel Hernan, Harvard University; James Robins, Harvard T.H Chan School of Public Health
4:05 PM	Estimation of Natural Indirect Effects Robust to Unmeasured Confounding and Mediator Measurement Error Isabel Fulcher, Harvard
4:25 PM	Using Instrumental Variables to Account for Unmeasured Confounding Under a Cox Model Extended to Non-Proportional Hazards James O'Malley, Dartmouth
4:45 PM	Floor Discussion

576 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Matching Methods for Causal Inference with Emerging Data and Statistical Challenges — Topic Contributed Papers
Biometrics Section, ENAR, Section on Statistics in Epidemiology, Text Analysis Interest Group
Organizer(s): Shu Yang, North Carolina State University
Chair(s): Shu Yang, North Carolina State University
3:05 PM	Individualized Matched Design of Observational Studies Jose Zubizarreta
3:25 PM	Double Score Matching Estimators of Average and Quantile Treatment Effects Yunshu Zhang, North Carolina State University; Shu Yang, North Carolina State University
3:45 PM	Estimation for Imputed Survey Data Xiaofei Zhang, Iowa State University; Wayne A Fuller, Iowa State University
4:05 PM	Causal Inference with Free-Text in Both Randomized and Observational Settings Michael Baiocchi, Stanford University; Jordan Rodu, University of Virginia; Joshua Kravitz, Stanford University
4:25 PM	Machine Learning Methods for Causal Inference from Complex Observational Data Alexander Volfovsky, Duke University
4:45 PM	Floor Discussion

581 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Advanced Cross-Disciplinary Statistical Methods in Statistical Genomics — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science
Organizer(s): Suvo Chatterjee, National Institute of Child Health and Development (NICHD)/ National Institutes of Health
Chair(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
3:05 PM	Utilizing Patient Information to Identify Subtype Heterogeneity of Cancer Driver Genes Bin Zhu, NCI; Ho-Hsiang Wu, Food and Drug Administration; Xing Hua, Fred Hutchinson Cancer Research Center; Jianxin Shi, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
3:25 PM	Bayesian Functional Data Analysis Over Dependent Regions and Its Application for Identification of Differentially Methylated Regions Suvo Chatterjee, National Institute of Child Health and Development (NICHD)/ National Institutes of Health; Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai; Duchwan Ryu, Northern Illinois University; Fasil Tekola Ayele, NICHD/NIH
3:45 PM	A Bayesian Precision Medicine Framework for Calibrating Individualized Therapeutic Indices in Cancer ABHISEK SAHA, NICHD, NIH; Veera Baladandayuthapani, University of Michigan; Min Jin Ha, UT MD Anderson Cancer Center
4:05 PM	Multi-Resolution Clustering of Omics Data for Pattern Discovery Presentation Ali Rahnavard, George Washington University
4:25 PM	Multiomics Analysis of the Immunome, Transcriptome, Microbiome, Proteome, and Metabolome in Pregnancy Nima Aghaeepour, Stanford University - Stanford, CA
4:45 PM	Floor Discussion

JSM 2020 Online Program

Activity Details

American Statistical Association