Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis
10.11886/scjsws20221113005
- VernacularTitle:合理进行多重Logistic回归分析
- Author:
Chunyan HU
1
;
Liangping HU
1
Author Information
1. Graduate School， Academy of Military Sciences PLA China， Beijing 100850， China
- Publication Type:Journal Article
- Keywords:
Inverse probability weight;
Potential outcome mean;
Average treatment effect;
Logistic regression model;
Propensity score model
- From:
Sichuan Mental Health
2022;35(6):512-517
- CountryChina
- Language:Chinese
-
Abstract:
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.
