| 胡纯严,胡良平.合理进行多重线性回归分析——结合倾向性评分分析[J].四川精神卫生杂志,2022,35(6):506-511.Hu Chunyan,Hu Liangping,Reasonably conduct the multiple linear regression analysis combined with the propensity score analysis[J].SICHUAN MENTAL HEALTH,2022,35(6):506-511 |
| 合理进行多重线性回归分析——结合倾向性评分分析 |
| Reasonably conduct the multiple linear regression analysis combined with the propensity score analysis |
| 投稿时间：2022-11-13 |
| DOI：10.11886/scjsws20221113004 |
| 中文关键词: 处理变量 倾向性评分分析 匹配方法 Logistic回归模型 多重线性回归模型 |
| 英文关键词:Treatment variable Propensity score analysis Matching method Logistic regression model Multiple linear regression model |
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| 中文摘要: |
| 本文目的是介绍如何结合倾向性评分分析，合理地进行多重线性回归分析的方法。第一，介绍了与倾向性评分分析有关的3个基本概念。第二，介绍了倾向性评分分析的核心内容，即3种匹配方法。第三，通过一个流行病学的调查实例，介绍了如何用SAS软件进行分析的全过程，内容如下：①针对原始数据集，检验协变量在处理组与对照组之间的差异是否具有统计学意义；②针对原始数据集，直接进行多重线性回归分析；③采用倾向性评分分析产生匹配后的数据集；④针对匹配后的数据集，检验协变量在处理组与对照组之间的差异是否具有统计学意义；⑤针对匹配后的数据集，合理进行多重线性回归分析。 |
| 英文摘要: |
| The purpose of this paper was to introduce how to combine the propensity score analysis to reasonably carry out multiple linear regression analysis. Firstly， it introduced 3 basic concepts related to the propensity score analysis. Secondly， it presented the core contents of the propensity score analysis， that was， three matching methods. Thirdly， through an epidemiological survey example， it gave the whole process of how to use SAS software for the analysis. The contents were as follows： ① for the original data set， test whether the difference of covariates between the treatment group and the control group was statistically significant； ② directly implement the multiple linear regression analysis for the original data set； ③ the propensity score analysis was used to generate the matched data set； ④ for the matched data set， test whether the difference of covariates between the treatment group and the control group was statistically significant； ⑤ a reasonable multiple linear regression analysis was used for the matched data set. |
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