Nonparametric maximum likelihood estimation for competing risks survival data subject to interval censoring and truncation

被引：72

作者：

Hudgens, MG ^{[1
]}

Satten, GA

Longini, IM

机构：

[1] Emory Univ, Dept Biostat, Atlanta, GA 30322 USA

[2] Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA

[3] Ctr Dis Control & Prevent, Atlanta, GA 30333 USA

来源：

BIOMETRICS | 2001年 / 57卷 / 01期

关键词：

competing risks; cumulative incidence function; HIV subtypes; interval censoring; nonparametric maximum likelihood; pseudolikelihood; truncation;

D O I：

10.1111/j.0006-341X.2001.00074.x

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We derive the nonparametric maximum likelihood estimate (NPMLE) of the cumulative incidence functions for competing risks survival data subject to interval censoring and truncation. Since the cumulative incidence function NPMLEs give rise to an estimate of the survival distribution which can be undefined over a potentially larger set of regions than the NPMLE of the survival function obtained ignoring failure type, we consider an alternative pseudolikelihood estimator. The methods are then applied to data from a cohort of injecting drug users in Thailand susceptible to infection from HIV-1 subtypes B and E.

引用

页码：74 / 80

页数：7

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