THE GRAPHICAL EVALUATION OF EXPLANATORY VARIABLES IN PROPORTIONAL HAZARD REGRESSION-MODELS
成果类型：
Article
署名作者：
LAGAKOS, SW
署名单位：
Harvard University; Harvard Medical School; Harvard University Medical Affiliates; Dana-Farber Cancer Institute
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2335809
发表日期：
1981
页码：
9398
关键词：
摘要：
A graphical technique for assessing explanatory variables in Cox''s proportional hazards regression model is examined. The method arises from consideration of the cumulative hazard transformation and the partial likelihood score function, and consists of permuting the observed rank statistic to account for the effects of explanatory variables fitted to the model. An example is provided [i.e., survival times, from date of transplantation, for patients in a heart transplant study].