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323 Wed, 8/5/2020, 10:00 AM - 2:00 PM Virtual
Estimating Treatment Effects: Applications in Health Policy — Contributed Papers
Health Policy Statistics Section
Chair(s): Jessica Lavery, Memorial Sloan Kettering Cancer Center
A Variance Shrinkage Method Improves the Arm-Based Bayesian Network Meta-Analysis
Zhenxun Wang, Division of Biostatistics, University of Minnesota; Lifeng Lin, Florida State University; James S. Hodges, Division of Biostatistics, University of Minnesota; Richard MacLehose, Division of Epidemiology and Community Health, University of Minnesota; Haitao CHU, the University of Minnesota Twin Cities
Stepped Wedge Designs for Two Treatments: Power Analysis and Considerations
Phillip Sundin, University of California, Los Angeles; Catherine Crespi, UCLA Department of Biostatistics, Jonsson Comprehensive Cancer Center
An Approach to the Analysis of Composite Endpoints with No Prioritized Components
Abdullah Masud, AbbVie; John Schoenfelder, AbbVie
Buttressing: A Multiple Imputation Framework to Incorporate Background Covariate Data with Sampled Outcomes for Precision Gains
Thomas R. Belin, UCLA; Jay Xu, UCLA
Spatial Effects in Doubly-Robust Difference in Difference Designs
John Poe, University of Michigan; J. Tom Mueller, The Pennsylvania State University
Quality Measurement as Causal Inference, and Implications for Adjustment
Alan Zaslavsky, Harvard University
Safety and Effectiveness of Direct Oral Anticoagulants in Patients with Bioprosthetic Heart Valves and Atrial Fibrillation
Lewei Duan, Kaiser Permanente Southern California; Mingsum Lee, Kaiser Permanente
Estimating Causal Effects in Observational Studies: A Comparison of the Use of Boosting for Modeling the Assignment Mechanism, the Response Surface, or Both
Daniela Golinelli, Mathematica; Greg Ridgeway, University of Pennsylvania