Sun J
Department of Statistics, University of Missouri, 222 Math. Sci. Building, Columbia, MO 65211, USA.
Lifetime Data Anal. 2001 Dec;7(4):363-75. doi: 10.1023/a:1012596731505.
This paper considers comparison of discrete failure time distributions when the survival time of interest measures elapsed time between two related events and observations on the occurrences of both events could be interval-censored. This kind of data is often referred to as doubly interval-censored failure time data. If the occurrence of the first event defining the survival time can be exactly observed, the data are usually referred to as interval-censored data. For the comparison problem based on interval-censored failure time data, Sun (1996) proposed a nonparametric test procedure. In this paper we generalize the procedure given in Sun (1996) to doubly interval-censored data case and the generalized test is evaluated by simulations.
本文考虑当感兴趣的生存时间衡量两个相关事件之间的流逝时间且两个事件发生情况的观测可能为区间删失时离散失效时间分布的比较。这类数据通常被称为双区间删失失效时间数据。如果定义生存时间的第一个事件的发生能够被精确观测到，那么这些数据通常被称为区间删失数据。对于基于区间删失失效时间数据的比较问题，孙（1996）提出了一种非参数检验方法。在本文中，我们将孙（1996）给出的方法推广到双区间删失数据情形，并通过模拟对广义检验进行评估。
