Analysis of failure time data with dependent interval censoring
Analysis of failure time data with dependent interval censoring
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DOI：
10.1111/j.0006-341x.2002.00298.x
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发表时间：
2002-06-01
期刊：
影响因子：
1.9
通讯作者：
Schoenfeld, DA
中科院分区：
文献类型：
--
作者：
Finkelstein, DM;Goggins, WB;Schoenfeld, DA
本文开发了一种分析筛选数据的方法，其中筛选的机会取决于感兴趣的事件（信息审查）。由于并非所有受试者都进行了所有筛选访视，因此对感兴趣失败的数据进行区间删失。我们提出了一个模型，该模型将适当地调整依赖性以获得非参数失效时间函数的无偏估计，并且我们提供了应用从（离散时间）比例风险回归模型估计回归参数的方法的扩展。该方法应用于一项对参与艾滋病临床试验组进行的试验的艾滋病毒感染者群体中巨细胞病毒脱落的观察性研究的数据集。
This article develops a method for the analysis of screening data for which the chance of being screened is dependent on the event of interest (informative censoring). Because not all subjects make all screening visits, the data on the failure of interest is interval censored. We propose a model that will properly adjust for the dependence to obtain an unbiased estimate of the nonparametric failure time function, and we provide an extension for applying the method for estimation of the regression parameters from a (discrete time) proportional hazards regression model. The method is applied on a data set from an observational study of cytomegalovirus shedding in a population of HIV-infected subjects who participated in a trial conducted by the AIDS Clinical Trials Group.