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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
Instrumental Variables: To Strengthen or Not to Strengthen?
Semiparametric Maximum Likelihood Estimation with Two-Phase Stratified Case-Control Sampling
An Omitted Variable Bias Framework for Sensitivity Analysis of Instrumental Variables
Sensitivity Analyses of Unmeasured and Partially Measured Confounders Using an Imputation Approach in Vaccine Safety Studies
Is Anemia Prevalence a Good Proxy for Malaria Prevalence for Children? a Community-Level Perspective via Matched Logistic Regression Presentation
Operationalizing a Definition of Statistical Convergence in the Context of Meta-Analysis
Association Analysis Under Latent Population Heterogeneity
 
 

462
Thu, 8/6/2020, 10:00 AM - 2:00 PM
Novel Spatial and Spatio-Temporal Models in Public Health — Contributed Papers
 
 

521 *
Thu, 8/6/2020, 1:00 PM - 2:50 PM
Advances in Methods and Novel Applications for Data with Hierarchies and Under/Over-Dispersion — Invited Papers
2:45 PM Floor Discussion
 
 

526 * !
Thu, 8/6/2020, 1:00 PM - 2:50 PM
Novel Identification Frameworks for Causal Inference with Interference — Invited Papers
2:45 PM Floor Discussion
 
 

540 * !
Thu, 8/6/2020, 1:00 PM - 2:50 PM
Statistical Methods for Adolescent HIV Trials — Topic Contributed Papers
2:25 PM Floor Discussion
 
 

545
Thu, 8/6/2020, 1:00 PM - 2:50 PM
Machine Learning and Nonparametric Methods in Causal Inference — Topic Contributed Papers
2:45 PM Floor Discussion
 
 

556 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM
Causal Inference for Complex Data Challenges — Invited Papers
4:45 PM Floor Discussion
 
 

563 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM
Statistical Methods for State Health Policy Evaluation — Invited Papers
3:45 PM Floor Discussion
 
 

572 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM
Addressing Complications in Causal Inference — Topic Contributed Papers
4:45 PM Floor Discussion
 
 

576 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM
Matching Methods for Causal Inference with Emerging Data and Statistical Challenges — Topic Contributed Papers
4:45 PM Floor Discussion
 
 

581 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM
Advanced Cross-Disciplinary Statistical Methods in Statistical Genomics — Topic Contributed Papers
4:45 PM Floor Discussion