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Activity Number: 130
Type: Contributed
Date/Time: Monday, July 30, 2012 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #306346
Title: Goodness-of-Fit Test for a Proportional Subdistribution Hazards Model
Author(s): Bingqing Zhou*+ and Jason Fine and Glen Laird
Companies: Yale University/VA CSPCC West Haven and The University of North Carolina at Chapel Hill and Bristol-Myers Squibb
Address: 60 College St, New Haven, CT, 06477, United States
Keywords: Competing risks ; Goodness-of-fit ; Hazard of subdistribution ; Proportional hazarrd ; Schoenfeld ; Score test

This paper concerns using modified weighted Schoenfeld residuals to test the proportionality of subdistribution hazards for the Fine-Gray model, similarly to the tests proposed by Grambsch and Therneau (1994) for independently censored data. We develop a score test for the time-varying coefficients based on the modified Schoenfeld residuals derived assuming a certain form of non-proportionality. The methods perform well in simulations and a real data analysis of breast cancer data, where the treatment effect exhibits non-proportional hazards.

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