Mediation Analysis with Multiple Mediators.
Mediation Analysis with Multiple Mediators.
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DOI：
10.1515/em-2012-0010
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发表时间：
2014-01
影响因子：
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通讯作者：
Vansteelandt S
中科院分区：
文献类型：
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作者：
VanderWeele TJ;Vansteelandt S
关于中介的因果推理文献的最新进展已将直接和间接影响的传统方法扩展到允许交互和非线性的环境中。在本文中，这些因果推理方法进一步扩展到多个中介可能感兴趣的环境。提出了两种分析方法，一种基于回归，一种基于加权，来估计通过多个中介介导的效应和通过其他途径的效应。这里提出的方法适应暴露-中介相互作用，并且在一定程度上也适应中介-中介相互作用。这些方法处理二元或连续中介以及二元、连续或计数结果。当调解者相互影响时，尝试一次评估一个调解者的直接和间接影响的策略通常会失败；本文给出的方法仍然可以使用。此外，还给出了关于何时单独考虑的多个介体的介导效应之和将等于共同考虑的所有介体的介导效应的特征。本文提出的方法对于两个或多个中介的不可测量的共同原因是稳健的。
Recent advances in the causal inference literature on mediation have extended traditional approaches to direct and indirect effects to settings that allow for interactions and non-linearities. In this paper, these approaches from causal inference are further extended to settings in which multiple mediators may be of interest. Two analytic approaches, one based on regression and one based on weighting are proposed to estimate the effect mediated through multiple mediators and the effects through other pathways. The approaches proposed here accommodate exposure-mediator interactions and, to a certain extent, mediator-mediator interactions as well. The methods handle binary or continuous mediators and binary, continuous or count outcomes. When the mediators affect one another, the strategy of trying to assess direct and indirect effects one mediator at a time will in general fail; the approach given in this paper can still be used. A characterization is moreover given as to when the sum of the mediated effects for multiple mediators considered separately will be equal to the mediated effect of all of the mediators considered jointly. The approach proposed in this paper is robust to unmeasured common causes of two or more mediators.