ArticleThe annals of applied statistics2020
THE STRATIFIED MICRO-RANDOMIZED TRIAL DESIGN: SAMPLE SIZE CONSIDERATIONS FOR TESTING NESTED CAUSAL EFFECTS OF TIME-VARYING TREATMENTS.
Article in The annals of applied statistics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 citations in OpenAlex.
- Pilot microrandomized trial of a brief digital intervention for suicidal thoughts.Journal of consulting and clinical psychology · 2025Trial
- Sense2Stop: A micro-randomized trial using wearable sensors to optimize a just-in-time-adaptive stress management intervention for smoking relapse prevention.Contemporary clinical trials · 2021Trial
- Nonparametric Causal Inference for Optogenetics: Sequential Excursion Effects for Dynamic Regimes.Journal of the American Statistical Association · 2026Article
- Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation.Journal of the American Statistical Association · 2025Article
- Data integration methods for micro-randomized trials.Biometrics · 2025Article
- ASSESSING TIME-VARYING CAUSAL EFFECT MODERATION IN THE PRESENCE OF CLUSTER-LEVEL TREATMENT EFFECT HETEROGENEITY AND INTERFERENCE.Biometrika · 2023Article
- Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health.American journal of public health · 2023Article
- Engagement in digital interventions.The American psychologist · 2022Article
- Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions.Psychiatry · 2022Review
- MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions.Frontiers in digital health · 2022Article
- Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized Trial.JMIR research protocols · 2021Article
- Estimating time-varying causal excursion effect in mobile health with binary outcomes.Biometrika · 2021Article
- Rejoinder: 'Estimating time-varying causal excursion effects in mobile health with binary outcomes'.Biometrika · 2021Article
- Microrandomized Trial Design for Evaluating Just-in-Time Adaptive Interventions Through Mobile Health Technologies for Cardiovascular Disease.Circulation. Cardiovascular quality and outcomes · 2021Article
- Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health.Journal of the American Statistical Association · 2021Article
- Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science.Current addiction reports · 2020Article
- Designing m-Health interventions for precision mental health support.Translational psychiatry · 2020Review
- Microrandomized trials for promoting engagement in mobile health data collection: Adolescent/young adult oral chemotherapy adherence as an example.Current opinion in systems biology · 2020Article
- The application of digital health to the assessment and treatment of substance use disorders: The past, current, and future role of the National Drug Abuse Treatment Clinical Trials Network.Journal of substance abuse treatment · 2020Article
- Practical Considerations for Data Collection and Management in Mobile Health Micro-randomized Trials.Statistics in biosciences · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Technological advancements in the field of mobile devices and wearable sensors have helped overcome obstacles in the delivery of care, making it possible to deliver behavioral treatments anytime and anywhere. Here, we discuss our work on the design of a mobile health smoking cessation intervention study with the goal of assessing whether reminders, delivered at times of stress, result in a reduction/prevention of stress in the near-term, and whether this effect changes with time in study. Multiple statistical challenges arose in this effort, leading to the development of the
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.