宋德胜,李长平,刘媛媛,崔壮,胡良平.生存资料回归模型分析——Cox比例风险假设的拟合优度法[J].四川精神卫生杂志,2020,33(2):126-128.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

生存资料回归模型分析——Cox比例风险假设的拟合优度法

Analysis of regression model of survival data——the test of Cox’s proportional hazards assumption based on the goodness-of-fit

投稿时间：2020-03-12

DOI：10.11886/scjsws20200312004

中文关键词: 生存分析比例风险假设 SAS软件残差检验

英文关键词:Survival analysis Proportional hazards assumption SAS software Residual test

基金项目: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）

作者	单位	邮编
宋德胜	天津医科大学公共卫生学院流行病与卫生统计学教研室，天津 300070	300070
李长平	天津医科大学公共卫生学院流行病与卫生统计学教研室，天津 300070 世界中医药学会联合会临床科研统计学专业委员会，北京 100029	100029
刘媛媛	天津医科大学公共卫生学院流行病与卫生统计学教研室，天津 300070	300070
崔壮	天津医科大学公共卫生学院流行病与卫生统计学教研室，天津 300070	300070
胡良平	世界中医药学会联合会临床科研统计学专业委员会，北京 100029 军事科学院研究生院，北京 100850	100850

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中文摘要:

本文目的是介绍一些检验比例风险假设的方法。图示法是通过绘图然后由人工进行判断是否符合比例风险假设，因而具有一定的主观性。在图示法的基础上，本文介绍了从客观角度检验比例风险假设的一些常用方法，主要包括两类：一类是基于残差的检验；另一类则是构建协变量与时间的交互项并对其进行检验的方法。首先阐述了上述方法的原理，然后基于SAS软件并通过一个实例介绍上述方法的实现。

英文摘要:

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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