Practical Guidance for Conducting Mediation Analysis With Multiple Mediators Using Inverse Odds Ratio Weighting
Practical Guidance for Conducting Mediation Analysis With Multiple Mediators Using Inverse Odds Ratio Weighting
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DOI：
10.1093/aje/kwu278
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发表时间：
2015-03-01
影响因子：
5
通讯作者：
Tchetgen, Eric J. Tchetgen
中科院分区：
文献类型：
--
作者：
Nguyen, Quynh C.;Osypuk, Theresa L.;Tchetgen, Eric J. Tchetgen
尽管最近中介分析技术蓬勃发展，许多现代方法难以实现或仅适用于有限范围的回归模型。本报告提供了实用的指导，实施一种新的技术，利用反比比加权（IORW）估计自然的直接和间接影响的调解分析。IORW利用比值比的不变性，通过回归介质和协变量的暴露，以协变量为条件，浓缩暴露（治疗）与多种介质之间关系的比值比信息。协变量调整的风险-中介比值比关联的倒数用于加权治疗结局的主要分析回归。这种加权回归中的治疗系数估计治疗对结果的自然直接影响，间接影响通过从总影响中减去直接影响来确定。加权使得治疗和介质独立，从而使介质的间接途径失活。这种新的调解技术可容纳多个离散或连续的调解人。IORW易于实现，适用于任何标准回归模型，包括分位数回归和生存分析。一个实证的例子是使用移动到机会（1994-2002年）实验的数据，测试是否邻里环境介导的影响，住房券计划对肥胖症。提供了相关的Stata代码（StataCorp LP，学院站，德克萨斯州）。
Despite the recent flourishing of mediation analysis techniques, many modern approaches are difficult to implement or applicable to only a restricted range of regression models. This report provides practical guidance for implementing a new technique utilizing inverse odds ratio weighting (IORW) to estimate natural direct and indirect effects for mediation analyses. IORW takes advantage of the odds ratio's invariance property and condenses information on the odds ratio for the relationship between the exposure (treatment) and multiple mediators, conditional on covariates, by regressing exposure on mediators and covariates. The inverse of the covariate-adjusted exposure-mediator odds ratio association is used to weight the primary analytical regression of the outcome on treatment. The treatment coefficient in such a weighted regression estimates the natural direct effect of treatment on the outcome, and indirect effects are identified by subtracting direct effects from total effects. Weighting renders treatment and mediators independent, thereby deactivating indirect pathways of the mediators. This new mediation technique accommodates multiple discrete or continuous mediators. IORW is easily implemented and is appropriate for any standard regression model, including quantile regression and survival analysis. An empirical example is given using data from the Moving to Opportunity (1994-2002) experiment, testing whether neighborhood context mediated the effects of a housing voucher program on obesity. Relevant Stata code (StataCorp LP, College Station, Texas) is provided.