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Literature DB >> 26807137

Randomised trials for the Fitbit generation.

Walter Dempsey¹, Peng Liao², Pedja Klasnja³, Inbal Nahum-Shani⁴, Susan A Murphy⁵.

Abstract

Data from activity trackers and mobile phones can be used to craft personalised health interventions. But measuring the efficacy of these "treatments" requires a rethink of the traditional randomised trial.

Entities: Chemical Disease Species

Year: 2015 PMID： 26807137 PMCID： PMC4721268 DOI： 10.1111/j.1740-9713.2015.00863.x

Source DB: PubMed Journal: Signif (Oxf) ISSN： 1740-9705

4 in total

Review 1. Enhancing the scientific credibility of single-case intervention research: randomization to the rescue.

Authors: Thomas R Kratochwill; Joel R Levin
Journal: Psychol Methods Date: 2010-06

2. Sample size calculations for micro-randomized trials in mHealth.

Authors: Peng Liao; Predrag Klasnja; Ambuj Tewari; Susan A Murphy
Journal: Stat Med Date: 2015-12-28 Impact factor: 2.373

3. Automated personalized feedback for physical activity and dietary behavior change with mobile phones: a randomized controlled trial on adults.

Authors: Mashfiqui Rabbi; Angela Pfammatter; Mi Zhang; Bonnie Spring; Tanzeem Choudhury
Journal: JMIR Mhealth Uhealth Date: 2015-05-14 Impact factor: 4.773

4. Single-case experimental designs to evaluate novel technology-based health interventions.

Authors: Jesse Dallery; Rachel N Cassidy; Bethany R Raiff
Journal: J Med Internet Res Date: 2013-02-08 Impact factor: 5.428

4 in total

14 in total

1. Standardized Effect Sizes for Preventive Mobile Health Interventions in Micro-randomized Trials.

Authors: Brook Luers; Predrag Klasnja; Susan Murphy
Journal: Prev Sci Date: 2019-01

Review 2. An Individualized, Data-Driven Digital Approach for Precision Behavior Change.

Authors: Shannon Wongvibulsin; Seth S Martin; Suchi Saria; Scott L Zeger; Susan A Murphy
Journal: Am J Lifestyle Med Date: 2019-04-25

3. Big Data: Will It Improve Patient-Centered Care?

Authors: Denzil G Fiebig
Journal: Patient Date: 2017-04 Impact factor: 3.883

4. Assessing Time-Varying Causal Effect Moderation in Mobile Health.

Authors: Audrey Boruvka; Daniel Almirall; Katie Witkiewitz; Susan A Murphy
Journal: J Am Stat Assoc Date: 2017-03-29 Impact factor: 5.033

5. Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study.

Authors: Tianchen Qian; Predrag Klasnja; Susan A Murphy
Journal: Stat Sci Date: 2020-09-11 Impact factor: 2.901

6. THE STRATIFIED MICRO-RANDOMIZED TRIAL DESIGN: SAMPLE SIZE CONSIDERATIONS FOR TESTING NESTED CAUSAL EFFECTS OF TIME-VARYING TREATMENTS.

Authors: Walter Dempsey; Peng Liao; Santosh Kumar; Susan A Murphy
Journal: Ann Appl Stat Date: 2020-06-29 Impact factor: 2.083