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Activity Number: 7
Type: Invited
Date/Time: Sunday, July 31, 2016 : 2:00 PM to 3:50 PM
Sponsor: Health Policy Statistics Section
Abstract #318466
Title: An Overview of Innovative Statistical Designs for Point-of-Care Comparative Effectiveness Trials
Author(s): Mei-Chiung Shih*
Companies: Palo Alto VA Health Care System/Stanford University
Keywords: Comparative effectiveness research ; Adaptive designs ; Outcome adaptive randomization ; Point-of-care trials ; Treatment selection

Point-of-care randomized clinical trials aim to generate evidence on the comparative effectiveness of interventions that are already in use in routine care. In this talk, we will give an overview of design challenges for such trials and some innovative approaches that have been proposed in the literature to address these challenges, including (1) outcome adaptive randomization to address the objective of treating accrued patients with the best (yet known) interventions; (2) adaptive designs to address questions which evolve sequentially about the interventions, either endogenously during the course of the trial or exogenously from the changing landscape of medical knowledge and practice; (3) adaptive designs to jointly develop and test treatment strategies for subpopulations.

Authors who are presenting talks have a * after their name.

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