[Colloquium] Data Lunch Seminar announcement - Micro-Randomized Trials and Time-Varying Treatment Effects with Applications to Mobile Health

[Ninfa Mayorga via Colloquium]

Computational Social Science and Public Policy Colloquium & Data Lunch Seminar

Speaker: Susan Murphy, Statistics, University of Michigan

Host:  Joseph Walsh

Date:  May 5, 2017

Time: 11:30 AM - 12:30 PM 

Location: The University of Chicago, Searle 240A, 5735 S. Ellis Ave.

Title: Micro-Randomized Trials and Time-Varying Treatment Effects with Applications to Mobile Health

Abstract: A critical question in the development of mobile health interventions is, when and in which contexts, is it most useful to deliver treatments 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: HeartSteps.

Bio: Dr. Murphy's current primary interest is in causal inference and multi-stage decisions, sometimes called dynamic treatment regimes. Dynamic treatment regimes are individually tailored treatments involving a sequence of decision rules that specify when to alter therapy. The decision rules employ variables such as patient response, risk, burden, adherence, and preference, collected during prior therapy. For more background on Susan Murphy, please click here <https://lsa.umich.edu/stats/people/faculty/samurphy.html>.

Information:  Lunch will be provided on a first-come, first-served basis


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