NON-PROPORTIONAL HAZARDS WITH APPLICATION TO KIDNEY TRANSPLANT DATA

被引：0
|
作者：
Basar, Emel
机构：
来源：
COMMUNICATIONS FACULTY OF SCIENCES UNIVERSITY OF ANKARA-SERIES A1 MATHEMATICS AND STATISTICS | 2007年 / 56卷 / 01期
关键词：
Cox regression; Proportional hazards; Regression splines; Survival analysis;
D O I：
10.1501/Commua1_0000000196
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The Cox proportional hazards (PH) model is the popular method for modelling censored survival data. The fundamental assumption of the Cox PH model is the proportionality of hazards in which the hazard ratio is linear in the covariates. However this assumption may not hold in some survival studies. Therefore, different non-parametric regression methods have been proposed to estimate the hazard ratio as a function of time when the proportionality of hazards can not be assumed. In this study a piecewise model and a non-parametric regression spline model have been considered for the non-proportional hazards. The models have been illustrated with kidney transplant data..
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页码：55 / 63
页数：9
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