Ahmed Farid E, Vos Paul W, Holbert Don
Department of Radiation Oncology, The Brody School of Medicine and East Carolina University, Greenville, NC 27858 USA.
Mol Cancer. 2007 Feb 12;6:15. doi: 10.1186/1476-4598-6-15.
The Cox proportional hazards model is the most widely used model for survival analysis because of its simplicity. The fundamental assumption in this model is the proportionality of the hazard function. When this condition is not met, other modifications or other models must be used for analysis of survival data. We illustrate in this review several methodological approaches to deal with the violation of the proportionality assumption, using survival in colon cancer as an illustrative example.
由于其简单性,Cox比例风险模型是生存分析中使用最广泛的模型。该模型的基本假设是风险函数的比例性。当不满足此条件时,必须使用其他修正方法或其他模型来分析生存数据。在本综述中,我们以结肠癌的生存情况为例,阐述几种处理比例性假设违背问题的方法。