Causal mediation analysis with multiple causally non-ordered mediators.
Causal mediation analysis with multiple causally non-ordered mediators.
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DOI：
10.1177/0962280215615899
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发表时间：
2018-01
影响因子：
2.3
通讯作者：
Cheng J
中科院分区：
文献类型：
--
作者：
Taguri M;Featherstone J;Cheng J
在许多健康研究中，研究人员感兴趣的是通过中间变量来估计治疗对结果的影响。这种因果中介分析旨在了解解释治疗效果的机制。虽然多个调解人经常参与真实的研究，大多数文献认为调解分析与一个调解人的时间。在这篇文章中，我们认为调解分析时，有因果无序多个调解人。即使介质不相互影响，通过单独考虑的两个介质的两个间接效应的总和可能会偏离联合自然间接效应时，两个介质对结果的影响之间存在加性相互作用。因此，我们推导出一个方程的联合自然间接效应的基础上，个别的调解效果和他们的互动效果，这有助于我们了解如何调解效果的工作，通过两个调解人和调解人的相对贡献和他们的互动。我们还讨论了三个调解人的扩展。所提出的方法说明使用的数据从一个随机试验的预防龋齿。
In many health studies, researchers are interested in estimating the treatment effects on the outcome around and through an intermediate variable. Such causal mediation analyses aim to understand the mechanisms that explain the treatment effect. Although multiple mediators are often involved in real studies, most of the literature considered mediation analyses with one mediator at a time. In this article, we consider mediation analyses when there are causally non-ordered multiple mediators. Even if the mediators do not affect each other, the sum of two indirect effects through the two mediators considered separately may diverge from the joint natural indirect effect when there are additive interactions between the effects of the two mediators on the outcome. Therefore, we derive an equation for the joint natural indirect effect based on the individual mediation effects and their interactive effect, which helps us understand how the mediation effect works through the two mediators and relative contributions of the mediators and their interaction. We also discuss an extension for three mediators. The proposed method is illustrated using data from a randomized trial on the prevention of dental caries.
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