Presenter: Susan A. Murphy, Ph.D.
Presented: April 30 2015
About the presentation: Micro-randomized trials are trials in which individuals are randomized 100’s or 1000’s of times over the course of the study. The goal of these trials is to assess the impact of momentary interventions, e.g. interventions that are intended to impact behavior over small time intervals.
We discuss the design and analysis of these types of trials with a focus on their use in developing JITAIs in mobile health.
About the presenter: Susan A. Murphy, Ph.D., is an MD2K investigator and H.E. Robbins Distinguished University Professor of Statistics, Professor of Psychiatry and Research Professor, Institute for Social Research, University of Michigan. She directs the Statistical Reinforcement Learning Lab at the University of Michigan. Her research concerns clinical trial design and the development of data analytic methods for informing multi-stage decision making in health. In particular for (1) constructing individualized sequences of treatments (a.k.a., adaptive interventions) for use in informing clinical decision making and (2) constructing real-time individualized sequences of treatments (a.k.a., Just-in-Time Adaptive Interventions) delivered by mobile devices. Murphy has developed a formal model of this decision-making process and an innovative design for clinical trials called Sequential Multiple Assignment Randomized Trial (SMART) that allow researchers to test the efficacy of adaptive interventions. In 2014, she was elected a member of the National Academies’ Institute of Medicine, and in 2013, she was selected as a MacArthur Fellow.