在R中使用SAS宏进行多重中介分析。

Q1 Social Sciences Journal of Open Research Software Pub Date : 2020-01-01 Epub Date: 2020-10-07 DOI:10.5334/jors.277
Paige Fisher, Wentao Cao, Qingzhao Yu
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引用次数: 0

摘要

中介分析是指对第三个变量的影响进行推断的过程,这些第三个变量干预了暴露变量和反应变量之间的关系。变量之间的关系可以用广义线性模型(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,还使用多元加性回归树和平滑样条开发了一种通用的中介分析方法。该方法是在R包mma中实现的。在本文中,我们开发了SAS宏,以便在SAS环境中调用mma包中的函数并执行中介分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Using SAS Macros for Multiple Mediation Analysis in R.

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.

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来源期刊
Journal of Open Research Software
Journal of Open Research Software Social Sciences-Library and Information Sciences
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
21 weeks
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