Proportional Subdistribution Hazard Regression with Interval-Censored Competing Risks Data

• Activity Number: 292
• Type: Contributed
• Date/Time: Tuesday, August 5, 2014 : 8:30 AM to 10:20 AM
• Sponsor: Biometrics Section
• Author(s): Yi Ren*+ and Ruosha Li and Chung-Chou Chang
• Companies: University of Pittsburgh and University of Pittsburgh and University of Pittsburgh
• Keywords: Interval censoring ; Competing risks ; Proportional subdistribution hazards model

Abstract

In survival analysis, the failure time of an event is interval-censored when it is only known to occur between two consecutive observation times. Most existing methods for interval-censored data only account for a single cause of failure. However, in some situations a subject may fail due to more than one causes. We propose estimation procedures that account for both interval censoring and competing risks, adopting the modeling framework of the proportional subdistribution hazards model. The proposed estimating equations effectively utilize the ordering of the event time pairs, and the technique of inverse probability weighting is used to account for the missing mechanism. Simulation studies show that the proposed methods perform well under realistic scenarios.