Analysis of doubly-censored survival data, with application to AIDS.
Analysis of doubly-censored survival data, with application to AIDS.
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DOI：
10.2307/2532030
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发表时间：
1989-03
期刊：
影响因子：
1.9
通讯作者：
V. Gruttola;S. Lagakos
中科院分区：
文献类型：
--
作者：
V. Gruttola;S. Lagakos
本文提出了分析生存数据的非参数弱结构参数方法，其中时间起始点和失效事件都可以是右删失或区间删失的。这些数据出现在对人类免疫缺陷病毒(HIV)的临床调查中，当时只在几个时间点观察患者的感染和临床状态。所提出的方法推广了Turnbull(1976，Journal of the Royal Statistics Society，Series B 38,290-295)针对单删失单变量数据提出的自洽算法，并以血友病患者因血液污染因素感染HIV的研究结果为例进行了说明。
This paper proposes nonparametric and weakly structured parametric methods for analyzing survival data in which both the time origin and the failure event can be right- or interval-censored. Such data arise in clinical investigations of the human immunodeficiency virus (HIV) when the infection and clinical status of patients are observed only at several time points. The proposed methods generalize the self-consistency algorithm proposed by Turnbull (1976, Journal of the Royal Statistical Society, Series B 38, 290-295) for singly-censored univariate data, and are illustrated with the results from a study of hemophiliacs who were infected with HIV by contaminated blood factor.