A class of estimators of the survival function from interval-censored data
成果类型：
Article
署名作者：
Wang, ZM; Gardiner, JC
刊物名称：
ANNALS OF STATISTICS
ISSN/ISSBN：
0090-5364
发表日期：
1996
页码：
647-658
关键词：
摘要：
A model of interval censorship of a failure time T is considered when there is only one inspection time Y. The observable data are n independent copies of the pair (Y, delta), where delta = [T less than or equal to Y]. We construct a class of self-consistent estimators of the survival function of T defined implicitly through two equations and show their strong consistency under certain conditions. The properties of the nonparametric maximum likelihood estimator are also investigated.