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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
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