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Creating curated datasets for analyses and estimation of treatment effects for the Sense2Stop stratified micro-randomized trial.

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jamieyap/S2S-sMRT

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About this Repository

This repository contains code and documentation relating to the curation of data and testing of primary aim hypotheses for the Sense2Stop Stratified Micro-Randomized Trial (sMRT).

Keywords: Causal Inference, Intensive Longitudinal Data, Adaptive Interventions, Mobile Health (mHealth), Micro-Randomized Trial (MRT)

Content

File Brief Description
documentation.pdf A PDF file where decisions made when curating the data for the primary aim hypothesis are documented.
run-data-curation-pipeline.R A script to document and run steps in the data curation pipeline.

Related References

Link Brief Description
https://clinicaltrials.gov/ct2/show/NCT03184389 A brief description of the trial (ClinicalTrials.gov Identifier: NCT03184389)
https://pubmed.ncbi.nlm.nih.gov/34375749/ A more comprehensive description of the study protocol published in the Journal of Contemporary Clinical Trials: Battalio, S. L., Conroy, D. E., Dempsey, W., Liao, P., Menictas, M., Murphy, S., ..., and Spring, B. (2021). 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, 109, 106534

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Creating curated datasets for analyses and estimation of treatment effects for the Sense2Stop stratified micro-randomized trial.

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