Open Access
August 2020 Moving Toward Rigorous Evaluation of Mobile Health Interventions
Kristin A. Linn
Statist. Sci. 35(3): 394-395 (August 2020). DOI: 10.1214/20-STS781


Qian, Klasnja and Murphy provide an assumption that allows for unbiased estimation of treatment effects in microrandomized trials when the data are modeled using linear mixed models with endogenous covariates. In this discussion, the validity of the assumption in the context of the HeartSteps microrandomized trial is reassessed. The utility of a marginal interpretation, versus the proposed conditional-on-the-random-effect interpretation, is also discussed.


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Kristin A. Linn. "Moving Toward Rigorous Evaluation of Mobile Health Interventions." Statist. Sci. 35 (3) 394 - 395, August 2020.


Published: August 2020
First available in Project Euclid: 11 September 2020

MathSciNet: MR4148213
Digital Object Identifier: 10.1214/20-STS781

Keywords: Causal inference , endogenous covariates , linear mixed model , microrandomized trial

Rights: Copyright © 2020 Institute of Mathematical Statistics

Vol.35 • No. 3 • August 2020
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