Competing Risks Regression with the Logit Link

• Activity Number: 292
• Type: Contributed
• Date/Time: Tuesday, August 5, 2014 : 8:30 AM to 10:20 AM
• Sponsor: Biometrics Section
• Author(s): Thomas Scheike*+
• Companies: University of Copenhagen
• Keywords: survival analysis ; competing risks

Abstract

We suggest a simple estimator for the proportional odds cumulative incidence model for competing risks data. The key advantage of this model is that the regression parameters of the model have a simple and useful odds-ratio interpretation. The model has been considered by many authors and is the first choice because of the familiarity with the odds-ratio. It is rarely used in practice due to the lack of reliable and quick estimation procedures. We suggest such procedures and show that their performance improve considerably on existing procedures. We derive the large sample properties and provide estimators of the asymptotic variances of the regression coefficients.