Liu Yuanyuan,Li Changping,Hu Liangping,Analysis of regression model of survival data——construction of Cox’s proportional hazards regression model of survival data based on MCMC procedure[J].SICHUAN MENTAL HEALTH,2020,33(2):129-133

Analysis of regression model of survival data——construction of Cox’s proportional hazards regression model of survival data based on MCMC procedure

DOI：10.11886/scjsws20200312005

English keywords:Bayesian Survival analysis Cox’s proportional hazards regression analysis Markov chain Monte Carlo

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 Name	Affiliation	Postcode
Liu Yuanyuan	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
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:

This article mainly introduced the related contents of constructing Cox?s proportional hazards regression model based on Bayesian theory using the PHREG procedure and MCMC procedure, and its SAS software implementation. In the MCMC procedure, there are two ways to build the model, one is to use the LAG function in the MODEL statement, the other is to use the JOINTMODEL option in the MCMC procedure. The results obtained by the two procedures were basically the same, and the programs of the PHREG procedure are relatively simple.

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