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一种用于计算Cox比例风险模型整体拟合优度检验的简化方法。

A simplified method of calculating an overall goodness-of-fit test for the Cox proportional hazards model.

作者信息

May S, Hosmer D W

机构信息

Department of Biostatistics and Epidemiology, University of Massachusetts at Amherst, USA.

出版信息

Lifetime Data Anal. 1998;4(2):109-20. doi: 10.1023/a:1009612305785.

Abstract

Grønnesby and Borgan (1996) propose an overall goodness-of-fit test for the Cox proportional hazards model. The basis of their test is a grouping of subjects by their estimated risk score. We show that the Grønnesby and Borgan test is algebraically identical to one obtained from adding group indicator variables to the model and testing the hypothesis the coefficients of the group indicator variables are zero via the score test. Thus showing that the test can be calculated using existing software. We demonstrate that the table of observed and estimated expected number of events within each group of the risk score is a useful adjunct to the test to help identify potential problems in fit.

摘要

格伦内斯比和博尔根(1996年)提出了一种针对考克斯比例风险模型的整体拟合优度检验。他们检验的基础是根据受试者的估计风险评分进行分组。我们表明,格伦内斯比和博尔根检验在代数上等同于通过将组指示变量添加到模型中,并通过得分检验来检验组指示变量的系数为零这一假设所得到的检验。从而表明该检验可以使用现有软件进行计算。我们证明,风险评分每组内观察到的和估计的预期事件数表格是该检验的一个有用辅助工具,有助于识别拟合中的潜在问题。

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