Statistics in Medicine · 2013 · 61 citations · 15 references
Public HealthBiostatisticsOncologyCancer EpidemiologyEpidemiologySurvival AnalysisCensoring MechanismsHazard FunctionsParametric Survival ModelsProportional Hazards AssumptionsSurvival ModelingHazard Ratio ModelingMethod Of Weighted ResidualsNon-proportional Hazards ModelingSchoenfeld Residual-based DiagnosticsScore TestTests Of Proportional HazardsTime-varying Hazard Models
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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Checking the Cox model with cumulative sums of martingale-based residuals
D. Y. Lin, L. J. Wei, Z. Ying · Biometrika · 1993 · 1.4K citations