| 胡纯严,胡良平.合理进行多重Logistic回归分析——结合平均处理效应分析[J].四川精神卫生杂志,2022,35(6):512-517.Hu Chunyan,Hu Liangping,Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis[J].SICHUAN MENTAL HEALTH,2022,35(6):512-517 |
| 合理进行多重Logistic回归分析——结合平均处理效应分析 |
| Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis |
| 投稿时间：2022-11-13 |
| DOI：10.11886/scjsws20221113005 |
| 中文关键词: 逆概率权重 潜在结果均值 平均处理效应 Logistic回归模型 倾向性评分模型 |
| 英文关键词:Inverse probability weight Potential outcome mean Average treatment effect Logistic regression model Propensity score model |
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| 中文摘要: |
| 本文目的是介绍如何结合平均处理效应分析，合理地进行多重Logistic回归分析的方法。第一，介绍了与平均处理效应分析有关的4个基本概念。第二，介绍了平均处理效应分析中的核心内容，即6种估算方法。第三，通过一个假设的药物临床试验实例，介绍了如何用SAS软件进行分析的全过程，内容如下：①采用传统的多重Logistic回归分析；②采用倾向性评分模型计算逆概率权重；③分别采用6种估算方法估计潜在结果均值和平均处理效应。 |
| 英文摘要: |
| The purpose of the paper was to introduce how to reasonably carry out multiple Logistic regression analysis combined with the average treatment effect analysis. Firstly， it introduced 4 basic concepts related to the average treatment effect analysis. Secondly， it presented the core contents in the average treatment effect analysis， that was， six estimation methods. Thirdly， through a hypothetical drug clinical trial example， it gave the whole process of how to use SAS software for the analysis. The contests were as follows： ① the traditional multiple Logistic regression model was used for the analysis； ② the propensity score model was used to calculate the inverse probability weights； ③ six estimation methods were used to estimate the potential outcome mean and the average treatment effect. |
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