Multidimensional hazard estimation under generalized censoring

被引：1

作者：

Aguirre, Alberto Carabarin ^{[1
]}

Ivanoff, B. Gail ^{[1
]}

机构：

[1] Univ Ottawa, Dept Math & Stat, Ottawa, ON K1N 6N5, Canada

来源：

ELECTRONIC JOURNAL OF STATISTICS | 2009年 / 3卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Survival analysis; cumulative hazard function; censored data; adapted random set; set-indexed martingale;

D O I：

10.1214/08-EJS340

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This paper focuses on the problem of the estimation of the cumulative hazard function of a distribution on d-dimensional Euclidean space when the data points are subject to censoring by an arbitrary adapted random set. A problem involving observability of the estimator proposed in [8] and [9] is resolved and a functional central limit theorem is proven for the revised estimator. Several examples and applications are discussed, and the validity of bootstrap methods is established in each case.

引用

页码：349 / 375

页数：27

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