Zhang Xinyan, Sun Jianguo
Department of Statistics, University of Missouri, Columbia, MO 65211, USA.
Comput Stat Data Anal. 2010 Jul 1;54(7):1817-1823. doi: 10.1016/j.csda.2010.01.035.
Correlated or clustered failure time data often occur in medical studies, among other fields (Cai and Prentice, 1995; Kalbfleisch and Prentice, 2002), and sometimes such data arise together with interval censoring (Wang et al., 2006). Furthermore, the failure time of interest may be related to the cluster size. For example, Williamson et al. (2008) discussed such an example arising from a lymphatic filariasis study. A simple and common approach to the analysis of these data is to simplify or convert interval-censored data to right-censored data due to the lack of proper inference procedures for direct analysis of these data. In this paper, two procedures are presented for regression analysis of clustered failure time data that allow both interval censoring and informative cluster size. Simulation studies are conducted to evaluate the presented approaches and they are applied to a motivating example.
相关或聚类的失效时间数据经常出现在医学研究以及其他领域(蔡和普伦蒂斯,1995;卡尔弗莱什和普伦蒂斯,2002),有时这类数据还会与区间删失一起出现(王等人,2006)。此外,感兴趣的失效时间可能与聚类大小有关。例如,威廉姆森等人(2008)讨论了一个来自淋巴丝虫病研究的此类例子。由于缺乏对这些数据进行直接分析的适当推断程序,一种简单且常见的分析这些数据的方法是将区间删失数据简化或转换为右删失数据。本文提出了两种用于聚类失效时间数据回归分析的程序,它们允许同时存在区间删失和信息性聚类大小。进行了模拟研究以评估所提出的方法,并将它们应用于一个激励性示例。