Odds Ratios for Mediation Analysis for a Dichotomous Outcome
Odds Ratios for Mediation Analysis for a Dichotomous Outcome
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DOI：
10.1093/aje/kwq332
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发表时间：
2010-12-15
影响因子：
5
通讯作者：
Vansteelandt, Stijn
中科院分区：
文献类型：
--
作者：
VanderWeele, Tyler J.;Vansteelandt, Stijn
对于二分结果，作者讨论了流行病学和社会科学中使用的标准中介分析方法何时有效，并在标准方法不起作用时提供了替代中介分析技术。他们将受控直接效应和自然直接和间接效应的定义从风险差异量表扩展到比值比量表。一个简单的技术来估计直接和间接效应的比值比相结合的逻辑回归和线性回归描述时，适用于结果是罕见的和介质连续的。进一步的讨论是如何这种中介分析技术可以扩展到设置中的数据来自病例对照研究设计。为了使流行病学和社会科学文献中使用的标准中介分析技术有效，需要假设暴露和中介对结果的影响之间没有相互作用。然而，这里提出的方法将适用于即使有接触的效果和中介的结果之间的相互作用。
For dichotomous outcomes, the authors discuss when the standard approaches to mediation analysis used in epidemiology and the social sciences are valid, and they provide alternative mediation analysis techniques when the standard approaches will not work. They extend definitions of controlled direct effects and natural direct and indirect effects from the risk difference scale to the odds ratio scale. A simple technique to estimate direct and indirect effect odds ratios by combining logistic and linear regressions is described that applies when the outcome is rare and the mediator continuous. Further discussion is given as to how this mediation analysis technique can be extended to settings in which data come from a case-control study design. For the standard mediation analysis techniques used in the epidemiologic and social science literatures to be valid, an assumption of no interaction between the effects of the exposure and the mediator on the outcome is needed. The approach presented here, however, will apply even when there are interactions between the effect of the exposure and the mediator on the outcome.