Extending Statistical Methods to Overcome Study Design Assumption Violations

Sun, Aug 4, 4:00 PM - 5:50 PM

James O'MalleyChair

Health Policy Statistics Section

4 Presentations

A Bayesian Beta-Binomial Piecewise Growth Mixture Model for Timeline Followback Data

4:05 PM - 4:25 PM

Chun-Che Wen (Medical University South Carolina)

Co-authors: Brian Neelon (Medical University of South Carolina)

Conditional and marginal hazard ratios: Accounting for unmeasured confounding in interpretation and estimation

4:25 PM - 4:45 PM

Pablo Martinez-Camblor (Dartmouth-Hitchcock Medical Center - Lebanon, NH)

Co-authors: Jesse Columbo (Dartmouth Health), Haobin Chen, Todd MacKenzie (Dartmouth Medical School), James O'Malley (Dartmouth University, Geisel School of Medicine)

Quantifying and Adjusting for Spillover and Contamination in Stepped-Wedge Trials: A Case Study in Intervention Efficacy During the COVID-19 Pandemic

4:45 PM - 5:05 PM

Carly Bobak

Co-authors: Deepika Mohan (University of Pittsburgh Medical Center), Megan Murphy (Geisel School of Medicine at Dartmouth), Amber Barnato (University of Pittsburgh), James O'Malley (Dartmouth University, Geisel School of Medicine)

The impact of knowledge of hospitalization and its recency on mortality predictions

5:05 PM - 5:25 PM

Curtis Peterson (Ucardia)

Co-authors: William Weeks (Microsoft Corporation), James O'Malley (Dartmouth University, Geisel School of Medicine)