Analysis of Interval-Censored Data Using Competing Risks Model and Multiple Imputation

• Activity Number: 405
• Type: Contributed
• Date/Time: Tuesday, August 5, 2014 : 2:00 PM to 3:50 PM
• Sponsor: Survey Research Methods Section
• Author(s): Tiandong Li*+ and Ulrike Luderer
• Companies: Westat and University of California, Irvine
• Keywords: Competing risks ; Cumulative Incidence Function ; Interval Censoring ; Multiple Imputation

Abstract

We consider the problem of analyzing interval censored data comparing cumulative incidence functions in the presence of competing risks. In this paper, we propose a method based on multiple imputation, which will impute the exact event time for interval censored data and take advantage of standard estimation methods for right censored data. Simulations are carried out to examine the performance of the proposed method. We analyze data from the National Children's Study to estimate cumulative risks of transition between Probability of Pregnancy Statuses and to examine the effect of major demographic variables.