Using SAS Macros for Multiple Mediation Analysis in R.
Using SAS Macros for Multiple Mediation Analysis in R.
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DOI：
10.5334/jors.277
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发表时间：
2020-01-01
影响因子：
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通讯作者：
Yu, Qingzhao
中科院分区：
文献类型：
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作者：
Fisher, Paige;Cao, Wentao;Yu, Qingzhao
中介分析是指对干预暴露变量和反应变量之间关系的第三变量的影响进行推断的过程。变量之间的关系可以通过广义线性模型（GLM）来建模。然而，当存在非线性关系和潜在的相互作用效应时，GLM 不足以描述变量之间的关系。 Yu 和 Li (2017) 不仅使用 GLM，还使用多重加性回归树和平滑样条，开发了一种通用中介分析方法。该方法在 R 包 mma 中实现。在本文中，我们开发了SAS宏，以便可以调用mma包中的函数并在SAS环境中执行中介分析。
Mediation analysis refers to the process of making inferences on effects of third variables that intervene in the relationship between an exposure and response variable. The relationships among variables can be modelled by generalized linear models (GLM). However, GLM are not sufficient to describe relationships among variables when there are nonlinear relationships and potential interaction effects. A general mediation analysis method was developed using not only GLMs, but also multiple additive regression trees and smoothing splines by Yu and Li (2017). The method is implemented in the R package, mma. In this paper, we developed SAS macros so that functions in the mma package can be called and the mediation analysis performed in the SAS environment.