Song Desheng,Li Changping,Liu Yuanyuan,Cui Zhuang,Hu Liangping,Analysis of regression model of survival data——the test of the Cox’s proportional hazards assumption[J].SICHUAN MENTAL HEALTH,2020,33(2):121-125
Analysis of regression model of survival data——the test of the Cox’s proportional hazards assumption
DOI:10.11886/scjsws20200312003
English keywords:Survival analysis  Proportional hazards assumption  SAS software  Cox regression model
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 purpose of this study was to introduce the current common methods of examining the assumption of proportional hazards using graphs.The classic Cox proportional hazards model requested the assumption of constant proportional hazards, which was often not true in clinical data. Given that, this article firstly interpreted the concept of the assumption of proportional hazards. Then introduced some common methods to test whether the proportional hazards were constant, which including graphical methods (Kaplan-Meier survival curve, plot about ln[-ln(St)] against survival time, scaled Schoenfeld residual against time diagram, simulation path diagram generated by the PH and RESAMPLE options in the ACCESS statement of the PHREG procedure). Finally, the implementation of the above methods in SAS software was demonstrated through an example.
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