ANALYZING DOUBLY CENSORED-DATA WITH COVARIATES, WITH APPLICATION TO AIDS
ANALYZING DOUBLY CENSORED-DATA WITH COVARIATES, WITH APPLICATION TO AIDS
复制标题
DOI：
10.2307/2532598
复制
发表时间：
1993-03-01
期刊：
影响因子：
1.9
通讯作者：
LAGAKOS, SW
中科院分区：
文献类型：
--
作者：
KIM, MY;DEGRUTTOLA, VG;LAGAKOS, SW
本文提出了一种方法，将协变量信息的生存数据的分析时，起源事件和故障事件的时间可以是正确的或区间删失。该方法通过允许两个事件之间的时间分布是比例风险模型下协变量的函数，推广了De Gruttola和Lagakos（1989，Biometrics 45，1-11）的单样本估计结果。通过基于Turnbuil（1976，Journal of the皇家统计学会杂志，系列B 38，290-295）自洽算法结合Newton-Raphson算法的迭代拟合程序获得模型系数的估计值以及基础分布。该方法是说明与人类免疫缺陷病毒感染的血友病患者的研究数据。
This paper proposes a method for incorporating covariate information in the analysis of survival data when both the time of the originating event and the failure event can be right- or interval-censored. This method generalizes the one-sample estimation results of De Gruttola and Lagakos (1989, Biometrics 45, 1-11) by allowing the distribution of time between the two events to be a function of covariates under a proportional hazards model. Estimates for the model coefficients, as well as the underlying distributions, are obtained by an iterative fitting procedure based on Turnbuil's (1976, Journal of the Royal Statistical Society, Series B 38, 290-295) self-consistency algorithm in combination with the Newton-Raphson algorithm. The method is illustrated with data from a study of hemophiliacs infected with the human immunodeficiency virus.