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Activity Details
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
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
Eric Dunipace, Harvard University ; Jose Zubizarreta
