Variable Selection for Interval‐censored Failure Time Data

Abstract

Summary 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.