Goodness-of-fit test for proportional subdistribution hazards model

被引：43

作者：

Zhou, Bingqing ^{[1
,2
]}

Fine, Jason ^{[3
,4
]}

Laird, Glen ^{[5
]}

机构：

[1] Yale Univ, Sch Publ Hlth, Div Biostat, New Haven, CT 06520 USA

[2] Coordinating Ctr, VA Cooperat Studies Program, West Haven, CT 06516 USA

[3] Univ N Carolina, Dept Biostat, Chapel Hill, NC 27599 USA

[4] Univ N Carolina, Dept Stat, Chapel Hill, NC 27599 USA

[5] Bristol Myers Squibb Co, Wallingford, CT 06492 USA

来源：

STATISTICS IN MEDICINE | 2013年 / 32卷 / 22期

关键词：

Martingale residual; hazard of subdistribution; competing risk; goodness-of-fit; score test; proportional hazard; REGRESSION-MODELS; RESIDUALS; RISK;

D O I：

10.1002/sim.5815

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

This paper concerns using modified weighted Schoenfeld residuals to test the proportionality of subdistribution hazards for the Fine-Gray model, similar to the tests proposed by Grambsch and Therneau for independently censored data. We develop a score test for the time-varying coefficients based on the modified Schoenfeld residuals derived assuming a certain form of non-proportionality. The methods perform well in simulations and a real data analysis of breast cancer data, where the treatment effect exhibits non-proportional hazards. Copyright (c) 2013 John Wiley & Sons, Ltd.

引用

页码：3804 / 3811

页数：8

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