DEPENDENT COMPETING RISKS AND SUMMARY SURVIVAL CURVES
成果类型：
Article
署名作者：
SLUD, EV; RUBINSTEIN, LV
署名单位：
National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2336500
发表日期：
1983
页码：
643649
关键词：
摘要：
In many contexts where there is interest in inferring the marginal distribution of a survival time T subject to censoring embodied in a latent waiting time C, the times T and C may not be independent. A new class of nonparametric assumptions on the conditional distribution of T given C and how they lead to consistent generalizations of the Kaplan and Meier (1958) survival curve estimator are presented. The new survival curve estimators are used under weak assumptions to construct bounds on the marginal survival which can be much narrower than those of Peterson (1976). In stratified populations where T and C are independent only within strata examples indicate that the Kaplan-Meier estimator is often approximately consistent.