Additive Hazards Model for Competing Risks Analysis of the Case-Cohort Design

Abstract Competing risks analysis of the case-cohort design is often required in epidemiological studies and for this, some methods have been proposed under the proportional hazards model. It is known that the proportional hazards model may not fit survival data well sometimes. This paper considers the analysis under the additive hazards model. Methods are proposed for estimating regression parameters and cumulative baseline hazard functions as well as cumulative incidence functions. The proposed estimators are shown to be consistent and asymptotically normal using the martingale central limit theory. Simulation studies are conducted and suggest that the proposed methods perform well.