JSM2023
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Invited Paper Session

Transporting Clinical Trial Results to the Population

Tue, Aug 8, 8:30 AM
Michael ElliottOrganizerKean Ming TanChair
Biometrics Section

4 Presentations

Efficient and robust transfer learning of optimal individualized treatment regime with right-censored survival data
8:35 AM - 9:55 AM
Shu Yang (North Carolina State University, Department of Statistics)
Co-authors: Pan Zhao (National Institute for Research in Digital Science and Technology)
Examining subgroup-specific treatment effects in multi-source data: source-specific inference and transportability to an external population
8:55 AM - 9:15 AM
Guanbo Wang (Harvard University)
Co-authors: Alexander Levis (Carnegie Mellon University), Issa Dahabreh
Expanding the evidence-base for medically underserved populations by integrating evidence from RCTs and electronic health records
9:15 AM - 9:35 AM
Rebecca Hubbard (University of Pennsylvania)
Transportability of clinical trial inference to a target population using a 'doubly robust' estimator
9:35 AM - 9:55 AM
Michael Elliott (University of Michigan)
Co-authors: Orlagh Carroll (London School of Hygiene and Tropical Medicine)
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