| 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 |
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| Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis |
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Hu Chunyan1, Hu Liangping1,2
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1.Graduate School， Academy of Military Sciences PLA China， Beijing 100850， China;2.Specialty Committee of Clinical Scientific Research Statistics of World Federation of Chinese Medicine Societies， Beijing 100029， China
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| 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. |
| Key words: Inverse probability weight Potential outcome mean Average treatment effect Logistic regression model Propensity score model |
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