Sun J
Department of Statistics, University of Missouri, Columbia 65211, USA.
Lifetime Data Anal. 1997;3(4):305-13. doi: 10.1023/a:1009609227969.
Gomez and Lagakos (1994) propose a nonparametric method for estimating the distribution of a survival time when the origin and end points defining the survival time suffer interval-censoring and right-censoring, respectively. In some situations, the end point also suffers interval-censoring as well as truncation. In this paper, we consider this general situation and propose a two-step estimation procedure for the estimation of the distribution of a survival time based on doubly interval-censored and truncated data. The proposed method generalizes the methods proposed by DeGruttola and Lagakos (1989) and Sun (1995) and is more efficient than that given in Gomez and Lagakos (1994). The approach is based on self-consistency equations. The method is illustrated by an analysis of an AIDS cohort study.
戈麦斯和拉加科斯（1994年）提出了一种非参数方法，用于在定义生存时间的起点和终点分别遭受区间删失和右删失时估计生存时间的分布。在某些情况下，终点也会遭受区间删失以及截断。在本文中，我们考虑这种一般情况，并基于双重区间删失和截断数据提出一种两步估计程序来估计生存时间的分布。所提出的方法推广了德格鲁托拉和拉加科斯（1989年）以及孙（1995年）提出的方法，并且比戈麦斯和拉加科斯（1994年）给出的方法更有效。该方法基于自洽方程。通过对一项艾滋病队列研究的分析来说明该方法。
