Estimating time-varying causal excursion effect in mobile health with binary outcomes.
Estimating time-varying causal excursion effect in mobile health with binary outcomes.
复制标题
用二元结果估计流动健康中的时变因果偏移效应。
DOI:
10.1093/biomet/asaa070
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发表时间:
2021-09
期刊:
影响因子:
2.7
通讯作者:
Murphy SA
中科院分区:
文献类型:
--
作者:
Qian T;Yoo H;Klasnja P;Almirall D;Murphy SA
Advances in wearables and digital technology now make it possible to deliver behavioral mobile health interventions to individuals in their everyday life. The micro-randomized trial is increasingly used to provide data to inform the construction of these interventions. In a micro-randomized trial, each individual is repeatedly randomized among multiple intervention options, often hundreds or even thousands of times, over the course of the trial. This work is motivated by multiple micro-randomized trials that have been conducted or are currently in the field, in which the primary outcome is a longitudinal binary outcome. The primary aim of such micro-randomized trials is to examine whether a particular time-varying intervention has an effect on the longitudinal binary outcome, often marginally over all but a small subset of the individual’s data. We propose the definition of causal excursion effect that can be used in such primary aim analysis for micro-randomized trials with binary outcomes. Under rather restrictive assumptions one can, based on existing literature, derive a semiparametric, locally efficient estimator of the causal effect. Starting from this estimator, we develop an estimator that can be used as the basis of a primary aim analysis under more plausible assumptions. Simulation studies are conducted to compare the estimators. We illustrate the developed methods using data from the micro-randomized trial, BariFit. In BariFit, the goal is to support weight maintenance for individuals who received bariatric surgery.
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影响因子:
3.7
作者:
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通讯作者:
Kosorok MR
DOI:
10.1080/01621459.2016.1192546
发表时间:
2017-01-01
影响因子:
3.7
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10.1198/016214506000000447
发表时间:
2006-09-01
影响因子:
3.7
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通讯作者:
Raudenbush, Stephen W.
影响因子:
3.7
作者:
Boruvka A;Almirall D;Witkiewitz K;Murphy SA
通讯作者:
Murphy SA