| 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 |
| Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis |
DOI：10.11886/scjsws20221113005 |
| English keywords:Inverse probability weight Potential outcome mean Average treatment effect Logistic regression model Propensity score model |
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| English 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. |
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