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