Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis
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 a...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Sichuan Mental Health
2022-12-01
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| Series: | Sichuan jingshen weisheng |
| Subjects: | |
| Online Access: | http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202206005&flag=1 |
| _version_ | 1797627581434953728 |
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| author | Hu Chunyan Hu Liangping |
| author_facet | Hu Chunyan Hu Liangping |
| author_sort | Hu Chunyan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T10:26:22Z |
| format | Article |
| id | doaj.art-17d3c977b8934aaa8c21ae3b28494235 |
| institution | Directory Open Access Journal |
| issn | 1007-3256 |
| language | zho |
| last_indexed | 2024-03-11T10:26:22Z |
| publishDate | 2022-12-01 |
| publisher | Editorial Office of Sichuan Mental Health |
| record_format | Article |
| series | Sichuan jingshen weisheng |
| spelling | doaj.art-17d3c977b8934aaa8c21ae3b284942352023-11-15T12:28:46ZzhoEditorial Office of Sichuan Mental HealthSichuan jingshen weisheng1007-32562022-12-0135651251710.11886/scjsws202211130051007-3256（2022）06-0512-06Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysisHu Chunyan0Hu Liangping1Graduate School， Academy of Military Sciences PLA China， Beijing 100850， ChinaGraduate School， Academy of Military Sciences PLA China， Beijing 100850， ChinaThe 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.http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202206005&flag=1inverse probability weightpotential outcome meanaverage treatment effectlogistic regression modelpropensity score model |
| spellingShingle | Hu Chunyan Hu Liangping Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis Sichuan jingshen weisheng inverse probability weight potential outcome mean average treatment effect logistic regression model propensity score model |
| title | Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis |
| title_full | Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis |
| title_fullStr | Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis |
| title_full_unstemmed | Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis |
| title_short | Reasonably conduct the multiple Logistic regression analysis combined with the average treatment effect analysis |
| title_sort | reasonably conduct the multiple logistic regression analysis combined with the average treatment effect analysis |
| topic | inverse probability weight potential outcome mean average treatment effect logistic regression model propensity score model |
| url | http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202206005&flag=1 |
| work_keys_str_mv | AT huchunyan reasonablyconductthemultiplelogisticregressionanalysiscombinedwiththeaveragetreatmenteffectanalysis AT huliangping reasonablyconductthemultiplelogisticregressionanalysiscombinedwiththeaveragetreatmenteffectanalysis |