Published on in Vol 7 , No 7 (2018) :July
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/9850, first published
.

Journals
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- Psihogios A, Li Y, Ahmed A, Huang J, Kersun L, Schwartz L, Barakat L. Daily text message assessments of 6‐mercaptopurine adherence and its proximal contexts in adolescents and young adults with leukemia: A pilot study. Pediatric Blood & Cancer 2021;68(2) View
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- Coughlin L, Nahum-Shani I, Bonar E, Philyaw-Kotov M, Rabbi M, Klasnja P, Walton M. Toward a Just-in-Time Adaptive Intervention to Reduce Emerging Adult Alcohol Use: Testing Approaches for Identifying When to Intervene. Substance Use & Misuse 2021;56(14):2115 View
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- Ramadurai R, Beckham E, McHugh R, Björgvinsson T, Beard C. Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series. JMIR Mental Health 2022;9(8):e33545 View
- Goldstein S, Zhang F, Klasnja P, Hoover A, Wing R, Thomas J. Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized Trial. JMIR Research Protocols 2021;10(12):e33568 View
- Goldman N, Willem T, Buyx A, Zimmermann B. Social media recruitment: practical benefits, challenges, and recommendations. A multi-stakeholder interview study. (Preprint). Journal of Medical Internet Research 2022 View
- Vhaduri S, Cho J, Meng K. Predicting unreliable response patterns in smartphone health surveys: A case study with the mood survey. Smart Health 2023;28:100398 View
- Potter L, Yap J, Dempsey W, Wetter D, Nahum-Shani I. Integrating Intensive Longitudinal Data (ILD) to Inform the Development of Dynamic Theories of Behavior Change and Intervention Design: a Case Study of Scientific and Practical Considerations. Prevention Science 2023 View
- Cohn E, Qian T, Murphy S. Sample size considerations for micro‐randomized trials with binary proximal outcomes. Statistics in Medicine 2023 View
- Sobolev M, Anand A, Dziak J, Potter L, Lam C, Wetter D, Nahum-Shani I. Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies. Frontiers in Digital Health 2023;5 View