Regression analysis of clustered interval-censored failure time data with the additive hazards model.
Regression analysis of clustered interval-censored failure time data with the additive hazards model.
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DOI：
10.1080/10485252.2012.720256
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发表时间：
2012
影响因子：
1.2
通讯作者：
Sun J
中科院分区：
文献类型：
--
作者：
Li J;Wang C;Sun J
本文讨论了故障时间聚类数据的回归分析，即将感兴趣的故障时间聚类成小组，而不是独立的。聚类在很多领域都存在，比如医学研究。对于这个问题，已经提出了许多方法，但大多数方法只适用于聚类的右删失数据。在现实中，失效时间数据往往是区间截尾的。也就是说，所关注的故障时间仅存在于特定的区间内。我们提出了一种基于估计方程的方法，用于对由可加风险模型产生的集群区间删失失效时间数据进行回归分析。该方法的一个主要优点是它不涉及任何基线风险函数的估计。建立了回归参数估计的渐近和有限样本性质，并以淋巴丝虫病研究的数据为例说明了该方法。
This paper discusses regression analysis of clustered failure time data, which means that the failure times of interest are clustered into small groups instead of being independent. Clustering occurs in many fields such as medical studies. For the problem, a number of methods have been proposed, but most of them apply only to clustered right-censored data. In reality, the failure time data is often interval-censored. That is, the failure times of interest are known only to lie in certain intervals. We propose an estimating equation-based approach for regression analysis of clustered interval-censored failure time data generated from the additive hazards model. A major advantage of the proposed method is that it does not involve the estimation of any baseline hazard function. Both asymptotic and finite sample properties of the proposed estimates of regression parameters are established and the method is illustrated by the data arising from a lymphatic filariasis study.
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影响因子：
2.7
作者：
Lin, DY;Oakes, D;Ying, ZL
通讯作者：
Ying, ZL
影响因子：
1.3
作者：
Zhu, Liang;Tong, Xingwei;Sun, Jianguo
通讯作者：
Sun, Jianguo
影响因子：
2
作者：
JEWELL, NP
通讯作者：
JEWELL, NP
影响因子：
2.7
作者：
Wang, WJ;Ding, AA
通讯作者：
Ding, AA
影响因子：
3.7
作者：
WEI, LJ;LIN, DY;WEISSFELD, L
通讯作者：
WEISSFELD, L