区间删失失效时间数据是失效时间或事件发生时间数据的一般类型.对于这类数据,其感兴趣的失效时间仅已知或被观测落在某个区间内而不是被精确地观测到.此类数据经常出现在很多领域,例如人口统计研究,流行病学研究,医学或公共健康研究和社会科学,以及其他不同的领域.纵向或者定期随访研究是产生区间删失数据的常见领域,例如许多临床试验或者观察性研究.在本文中,我们将在简要地讨论背景和一些常用模型后,主要回顾一些过去五年时间左右,在几个重要的与回归分析相关的主题上的近期进展,以及区间删失数据分析中需要更多研究的一些问题.“,”Interval-censored failure time data are a general type of failure time or time-to-event data where the failure time of interest is known or observed only to lie in an interval or window instead of being observed exactly.They often occur in many fields,including demographical stud-ies,epidemiological studies,medical or public health research and social science,and in different forms.A common and general set-up that naturally yields interval-censored data is the study with longitudinal or periodical follow-ups such as many clinical trials or observation studies.In this paper,after some brief discussion about the background and some commonly used models,we will review some recent advances,mainly during about last five years,on several important topics related to regression analysis as well as some issues that need more research in the analysis of interval-censored data.