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Activity Number: 88
Type: Invited
Date/Time: Sunday, July 31, 2016 : 6:00 PM to 8:00 PM
Sponsor: Social Statistics Section
Abstract #320327
Title: Sample Size Calculations for Micro-Randomized Trials in MHealth
Author(s): Peng Liao* and Ji Sun and Susan A. Murphy
Companies: University of Michigan and University of Michigan and University of Michigan
Keywords: micro-randomized trial ; sample size calculation ; mobile health
Abstract:

The use and development of mobile interventions are experiencing rapid growth. In "just-in-time" mobile interventions, treatments are provided via a mobile device, and they are intended to help an individual make healthy decisions 'in the moment,' and thus have a proximal, near future impact. Currently, the development of mobile interventions is proceeding at a much faster pace than that of associated data science methods. A first step toward developing data-based methods is to provide an experimental design for testing the proximal effects of these just-in-time treatments. Recently, a "micro-randomized" trial design was developed for this purpose. In a micro-randomized trial, treatments are sequentially randomized throughout the conduct of the study, with the result that each participant may be randomized at the 100s or 1000s of occasions at which a treatment might be provided. In this poster, we present an online application for calculating the sample size in micro-randomized trials. The sample size is based on detecting the proximal effect of treatments throughout the study.


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

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