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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
Vladislav Beresovsky, National Center for Health Statistics
11:45 AM Floor Discussion