| 张甜甜,刘红伟,刘媛媛,李长平,胡良平.生存资料回归模型分析——生存资料参数回归模型分析SAS实现[J].四川精神卫生杂志,2020,33(1):39-43.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 |
| 生存资料回归模型分析——生存资料参数回归模型分析SAS实现 |
| Regression analysis of the parametric models for the survival data——the SAS implementation of survival data parametric regression model analysis |
| 投稿时间：2020-01-06 |
| DOI：10.11886/scjsws20200106005 |
| 中文关键词: 生存分析 参数回归 拟合优度检验 似然比检验 Weibull分布 |
| 英文关键词:Survival analysis Parametric regression Goodness-of-fit tests Likelihood-ratio tests Weibull distribution |
| 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） |
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| 中文摘要: |
| 本文目的是介绍生存资料参数回归模型的SAS实现，包括创建SAS数据集、依据图示法选择模型、拟合参数模型和似然比检验。利用SAS中的LIFEREG过程绘制生存函数关于生存时间的关系图，拟合对应的参数分布回归模型，通过拟合优度检验选择最优的参数回归模型，最后对相关结果进行解释。 |
| 英文摘要: |
| 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. |
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