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Updated: May 11, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Goodness-of-fit test for proportional subdistribution hazards model
Bingqing Zhou1, Jason Fine, Glen Laird
1Division of Biostatistics, School of Public Health, Yale University, New Haven, CT 06520, U.S.A.; VA Cooperative Studies Program Coordinating Center, West Haven, CT 06516, U.S.A.
Abstract:
This paper concerns using modified weighted Schoenfeld residuals to test the proportionality of subdistribution hazards for the Fine-Gray model, similar to the tests proposed by Grambsch and Therneau 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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