Some Recent Advances on Variable Selection for Interval-Censored Failure Time Data

• Activity Number: 82 - New Statistical Methods for Survival Analysis in Complex Biomedical Studies
• Type: Invited
• Date/Time: Monday, August 8, 2022 : 8:30 AM to 10:20 AM
• Sponsor: Lifetime Data Science Section
• Author(s): (Tony) Jianguo J Sun*
• Companies: UNIVERSITY OF MISSOURI-COLUMBIA
• Keywords: Interval-censored data; Variable selection; Penalized procedures

Abstract

Variable selection is a common task in many fields and also a hot topic for the analysis of interval-censored failure time data arising from various situations. Correspondingly, some methods have been developed but there still exist some practical situations that have not been investigated. In this talk, we will discuss a couple of recently developed methods for high-dimensional interval-censored data, which can occur in many areas including demographical studies, economic studies, medical studies and social sciences.