A Copula Model Approach for Regression Analysis of Informatively Interval-Censored Failure Time Data

• Activity Number: 322 - Time-To-Event Models in Complex Observational Studies
• Type: Invited
• Date/Time: Tuesday, July 30, 2019 : 10:30 AM to 12:20 PM
• Sponsor: Biometrics Section
• Author(s): (Tony) Jianguo Sun*
• Companies: University of Missouri
• Keywords: Coupla model; Informative censoring; Interval-censored data; Regression analysis

Abstract

Interval-censored failure time data occur quite often and can have complex structures. Sometime one may face interval-censored data with informative interval censoring and has to deal with even more complicated data structures. For the situation, one commonly used approach is the frailty-based method. In this talk, we will discuss an alternative approach and present some copula model-based methods for regression analysis of such data.