| 胡纯严,胡良平.协变量在因果中介效应分析中的作用[J].四川精神卫生杂志,2022,35(5):402-406.Hu Chunyan,Hu Liangping,Role of covariates in the analysis of causal mediation effects[J].SICHUAN MENTAL HEALTH,2022,35(5):402-406 |
| 协变量在因果中介效应分析中的作用 |
| Role of covariates in the analysis of causal mediation effects |
| 投稿时间：2022-09-11 |
| DOI：10.11886/scjsws20220911001 |
| 中文关键词: 因果中介效应 处理变量 中介变量 结果变量 混淆变量 |
| 英文关键词:Causal mediation effect Treatment variable Mediation variable Outcome variable Confounding variable |
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| 中文摘要: |
| 本文目的是介绍因果中介效应分析的理论基础以及结合一个实例采用SAS实现因果中介效应分析的具体方法。因果中介效应分析的理论基础包括基本概念以及定义因果中介效应的反事实框架。实例是关于父母提供的鼓励性环境是否会影响儿童的认知发展，分别采用传统的多重线性回归分析、不考虑协变量和考虑协变量的因果中介效应分析，通过比较3种分析方法所得到的结果，得出如下结论：①当资料中存在中介变量时，不适合采用传统的多重线性回归分析取代因果中介效应分析；②当资料中存在协变量时，不适合在忽视协变量的条件下进行因果中介效应分析。 |
| 英文摘要: |
| The purpose of this paper was to introduce the theoretical basis of the causal mediation effect analysis and the specific method to realize an example by the causal mediation effect analysis with SAS. The theoretical basis of the causal mediation effect analysis included the following two aspects， the basic concept and defining the counterfactual framework of the causal mediation effect. The example was about whether the encouraging environment provided by parents would affect the cognitive development of children. The traditional multiple linear regression analysis， the causal mediation effect analysis without considering covariates and with considering covariates were used， respectively. By comparing the results obtained by the three analysis methods， the following conclusions were drawn： ① when there were the mediation variables in the data， it was not suitable to use traditional multiple linear regression analysis to replace the causal mediation effect analysis； ② when there were covariates in the data， it was not suitable to conduct causal mediation analysis under the condition of ignoring covariates. |
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