Song Desheng,Li Changping,Liu Yuanyuan,Cui Zhuang,Hu Liangping,Analysis of regression model of survival data——the test of Cox’s proportional hazards assumption based on the goodness-of-fit[J].SICHUAN MENTAL HEALTH,2020,33(2):126-128
Analysis of regression model of survival data——the test of Cox’s proportional hazards assumption based on the goodness-of-fit
DOI:10.11886/scjsws20200312004
English keywords:Survival analysis  Proportional hazards assumption  SAS software  Residual test
Fund projects:国家自然科学基金项目(项目名称:贝叶斯生存分析方法在肝细胞癌肝移植患者预后预测中的应用研究,项目编号:81803333)
Author NameAffiliationPostcode
Song Desheng Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China 300070
Li Changping Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
Specialty Committee of Clinical Scientific Research Statistics of World Federation of Chinese Medicine Societies, Beijing 100029, China 
100029
Liu Yuanyuan Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China 300070
Cui Zhuang Department of Epidemiology and Health Statistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China 300070
Hu Liangping Specialty Committee of Clinical Scientific Research Statistics of World Federation of Chinese Medicine Societies, Beijing 100029, China
Graduate School, Academy of Military Sciences PLA China, Beijing 100850, China 
100850
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English abstract:
      The main purpose of this study was to introduce some methods for the test of the proportional hazards assumption. The graphical methods of testing the assumption were subjective because they were plotted and then manually judged whether they met the proportional hazards assumption. Based on the graphical methods, this article introduced some common methods, based on the Goodness-of-fit, for testing the assumption of proportional hazards from an objective perspective, mainly including two types, one was based on the residual test, the other was to construct the interaction terms of covariates by time. First of all, the principle of the above method was explained, and then the implementation of the method in SAS software was introduced through an example.
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