Variable selection for interval-censored failure time data has recently attracted a great deal of attention along with the analysis of interval-censored data in both method developments and practical applications. Interval-censored data are a general type of time-to-event or failure time data where the failure time of interest is known or observed only to lie in an interval instead of being observed exactly. They often occur in different forms and in many fields, including demographical studies, epidemiological studies, medical or public health researches and social sciences. This paper will discuss and review the existing methods for variable selection based on interval-censored data, a relatively new but important topic, along with some directions or issues that need more research.

中文翻译：

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区间删失失效时间数据的变量选择

区间删失失效时间数据的变量选择最近在方法开发和实际应用中与区间删失数据分析一起引起了广泛关注。间隔删失数据是一种通用类型的事件发生时间或故障时间数据，其中感兴趣的故障时间已知或仅观察到位于一个间隔内，而不是准确地观察到。它们经常以不同的形式出现在许多领域，包括人口统计研究、流行病学研究、医学或公共卫生研究和社会科学。本文将讨论和回顾现有的基于区间删失数据的变量选择方法，这是一个相对较新但重要的话题，以及一些需要更多研究的方向或问题。