Estimating time-varying causal excursion effect in mobile health with binary outcomes.

Estimating time-varying causal excursion effect in mobile health with binary outcomes.
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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
Murphy SA
中科院分区:
数学2区
文献类型:
--
作者:
Qian T;Yoo H;Klasnja P;Almirall D;Murphy SA

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可穿戴设备和数字技术的进步现在使人们有可能在日常生活中为个人提供行为移动的健康干预。微随机试验越来越多地用于提供数据,为这些干预措施的构建提供信息。在微随机试验中,每个个体在试验过程中重复随机分配到多种干预方案中,通常数百甚至数千次。这项工作的动机是多个微观随机试验,已经进行或目前在该领域,其中的主要结果是一个纵向的二元结果。这种微随机试验的主要目的是检查特定的随时间变化的干预是否对纵向二元结果有影响,通常在所有数据中只有一小部分数据。我们提出了因果偏移效应的定义,可用于这样的主要目标分析的微随机试验的二元结果。在相当严格的假设下,可以根据现有的文献,推导出因果效应的半参数,局部有效估计。从这个估计量开始,我们开发了一个估计量,它可以在更合理的假设下用作主要目标分析的基础。模拟研究进行比较的估计。我们说明了开发的方法使用的数据从微观随机试验,BariFit。BariFit的目标是支持接受减肥手术的个人保持体重。
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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