Zhang Tiantian,Liu Hongwei,Liu Yuanyuan,Li Changping,Hu Liangping,Regression analysis of the parametric models for the survival data——the SAS implementation of survival data parametric regression model analysis[J].SICHUAN MENTAL HEALTH,2020,33(1):39-43

Regression analysis of the parametric models for the survival data——the SAS implementation of survival data parametric regression model analysis

DOI：10.11886/scjsws20200106005

English keywords:Survival analysis Parametric regression Goodness-of-fit tests Likelihood-ratio tests Weibull distribution

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
Zhang Tiantian	School of Public Health, Tianjin Medical University, Tianjin 300070, China	300070
Liu Hongwei	School of Public Health, Tianjin Medical University, Tianjin 300070, China	300070
Liu Yuanyuan	School of Public Health, Tianjin Medical University, Tianjin 300070, China	300070
Li Changping	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

Hits:

Download times:

English abstract:

The purpose of this article was to introduce the SAS implementation of the parametric model for the survival data, including the creation of a SAS data set, a graphical selection method, fitting parametric model, and a likelihood ratio test. The relationship between survival time and survival function was drawn by using the LIFEREG procedure in SAS software, and the corresponding parametric distribution was fitted. The optimal parametric model was selected by the goodness-of-fit test, and the relevant results were explained.

View Full Text View/Add Comment Download reader