Susan A. Murphy

Affiliations: 
University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Statistics
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"Susan Murphy"
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Publications

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Qian T, Yoo H, Klasnja P, et al. (2021) Estimating time-varying causal excursion effect in mobile health with binary outcomes. Biometrika. 108: 507-527
Qian T, Yoo H, Klasnja P, et al. (2021) Rejoinder: 'Estimating time-varying causal excursion effects in mobile health with binary outcomes'. Biometrika. 108: 551-555
Liao P, Klasnja P, Murphy S. (2021) Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. Journal of the American Statistical Association. 116: 382-391
Dempsey W, Liao P, Kumar S, et al. (2020) THE STRATIFIED MICRO-RANDOMIZED TRIAL DESIGN: SAMPLE SIZE CONSIDERATIONS FOR TESTING NESTED CAUSAL EFFECTS OF TIME-VARYING TREATMENTS. The Annals of Applied Statistics. 14: 661-684
Carpenter SM, Menictas M, Nahum-Shani I, et al. (2020) Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science. Current Addiction Reports. 7: 280-290
Qian T, Klasnja P, Murphy SA. (2020) Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study. Statistical Science : a Review Journal of the Institute of Mathematical Statistics. 35: 375-390
Kroska EB, Hoel S, Victory A, et al. (2020) Optimizing an Acceptance and Commitment Therapy Microintervention Via a Mobile App With Two Cohorts: Protocol for Micro-Randomized Trials. Jmir Research Protocols. 9: e17086
Li S, Psihogios AM, McKelvey ER, et al. (2020) Microrandomized trials for promoting engagement in mobile health data collection: Adolescent/young adult oral chemotherapy adherence as an example. Current Opinion in Systems Biology. 21: 1-8
Bidargaddi N, Schrader G, Klasnja P, et al. (2020) Designing m-Health interventions for precision mental health support. Translational Psychiatry. 10: 222
Qian T, Klasnja P, Murphy SA. (2020) Rejoinder: Linear Mixed Models with Endogenous Covariates: Modeling Sequential Treatment Effects with Application to a Mobile Health Study Statistical Science. 35: 400-403
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