Analysis of competing risks survival data when some failure types are missing

被引：82

作者：

Goetghebeur, E ^{[1
]}

Ryan, L ^{[1
]}

机构：

[1] DANA FARBER CANC INST,BOSTON,MA 02115

来源：

BIOMETRIKA | 1995年 / 82卷 / 04期

关键词：

cause of death; estimating equations; incomplete data; proportional hazards; score test;

D O I：

10.2307/2337347

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We propose a method to analyse competing risks survival data when failure types are missing for some individuals. Our approach is based on a standard proportional hazards structure for each of the failure types, and involves the solution to estimating equations. We present consistent and asymptotically normal estimators of the regression coefficients and related score tests. An appealing feature is that individuals with known failure types make the same contributions as they would to a standard proportional hazards analysis. Contributions of individuals with unknown failure types are weighted according to the probability that they failed from the cause of interest. Efficiency and robustness are discussed. Results are illustrated with data from a breast cancer trial.

引用

页码：821 / 833

页数：13

共 28 条

[1] COX REGRESSION-MODEL FOR COUNTING-PROCESSES - A LARGE SAMPLE STUDY [J].