Additive subdistribution hazards regression for competing risks data in case-cohort studies.

ABSTRACT: In survival data analysis, a competing risk is an event whose occurrence precludes or alters the chance of the occurrence of the primary event of interest. In large cohort studies with long-term follow-up, there are often competing risks. Further, if the event of interest is rare in such large studies, the case-cohort study design is widely used to reduce the cost and achieve the same efficiency as a cohort study. The conventional additive hazards modeling for competing risks data in case-cohort studies involves the cause-specific hazard function, under which direct assessment of covariate effects on the cumulative incidence function, or the subdistribution, is not possible. In this paper, we consider an additive hazard model for the subdistribution of a competing risk in case-cohort studi

SUBMITTER: Wogu AF 

PROVIDER: S-EPMC10676749 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature