Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.
Stat Methods Med Res. 2010 Feb;19(1):53-70. doi: 10.1177/0962280209105023. Epub 2009 Aug 4.
Interval-censored failure time data occur in many medical investigations as well as other studies such as demographical and sociological studies. They include the usual right-censored failure time data as a special case but provide much more complex structure and less relevant information than the right-censored data. This article reviews some basic concepts, issues and the corresponding statistical approaches related to the analysis of interval-censored data as well as recent advances. In particular, we discuss estimation of a survival function, comparison of several treatments and regression analysis as well as competing risks analysis and truncation in the presence of interval censoring. A well-known example of interval-censored data is described and analysed to illustrate some of the statistical procedures discussed.
区间删失失效时间数据在许多医学研究以及人口学和社会学研究等其他研究中都有出现。它们包括通常的右删失失效时间数据作为一个特例,但与右删失数据相比,它们提供了更复杂的结构和更少的相关信息。本文回顾了与分析区间删失数据相关的一些基本概念、问题和相应的统计方法以及最新进展。特别是,我们讨论了生存函数的估计、几种处理方法的比较以及回归分析以及在存在区间删失时的竞争风险分析和截断。描述并分析了一个著名的区间删失数据的例子,以说明讨论的一些统计过程。