| Hu Chunyan,Hu Liangping,Reasonably conduct the multiple Logistic regression analysis combined with the ROC curve analysis[J].SICHUAN MENTAL HEALTH,2022,35(6):493-499 |
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| Reasonably conduct the multiple Logistic regression analysis combined with the ROC curve 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 this paper was to introduce how to reasonably carry out the method of the multiple Logistic regression analysis by combining the ROC curve analysis. Firstly， it introduced two groups of the basic concepts related to the ROC curve analysis， that was， the statistical description of common diagnostic indicators and the ROC curve analysis method of the diagnostic data. Secondly， it introduced the core contents of the ROC curve analysis， that was， the calculation of the area under the ROC curve and the comparison of the area under multiple ROC curves. Thirdly， through an example of a diagnostic test， the whole process of how to use SAS software for the analysis was introduced， the contents were as follows： ① the analysis using only multiple Logistic regression analysis； ② the multiple Logistic regression analysis combined with the ROC curve analysis. The conclusion was that， for the diagnostic test data， combining the multiple Logistic regression analysis with the ROC curve analysis could obtain richer and more reasonable statistical analysis results. |
| Key words: Diagnostic test Diagnostic index Sensitivity Specificity ROC curve analysis Logistic regression analysis |
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