UW Data Science Seminar: Assessing Moderated Effects of Mobile Health Interventions on Behavior
Posted: 1/3/2017 (Local Events)
A critical question in the development of mobile health interventions is, when and in which contexts, is it most useful to push intervention content to the user. This question concerns time-varying dynamic moderation by the context on the effectiveness of in-the-moment interventions on user behavior. In this talk we discuss the micro-randomized trial design and associated data analyses for use in assessing moderation. We illustrate this approach with data from a micro-randomized mobile health trial.
Susan A. Murphy is the H.E. Robbins Distinguished University Professor of Statistics & Professor of Psychiatry and a Research Professor at the Institute for Social Research. Her research focuses on improving sequential, individualized, decision making in health, in particular on clinical trial design and data analysis to inform the development of mobile health interventions. She participates in a variety of mobile health collaborations including the “Mobile Sensor Data to Knowledge,” https://md2k.org/, Center for Complex Data to Knowledge in Drug Abuse and HIV Behavioral Science, https://methodology.psu.edu/node/657, and multiple R01’s involving the development of just-in-time adaptive interventions in mobile health. Susan is a Fellow of the Institute of Mathematical Statistics, a Fellow of the College on Problems in Drug Dependence, a former editor of the Annals of Statistics, a member of the US National Academy of Sciences, the US National Academy of Medicine and a 2013 MacArthur Fellow.
Time: 3:30 PM PT
Location: University of Washington, Johnson 102