On the relation between the cause-specific hazard and the subdistribution rate for competing risks data: The Fine-Gray model revisited.

ABSTRACT: The Fine-Gray proportional subdistribution hazards model has been puzzling many people since its introduction. The main reason for the uneasy feeling is that the approach considers individuals still at risk for an event of cause 1 after they fell victim to the competing risk of cause 2. The subdistribution hazard and the extended risk sets, where subjects who failed of the competing risk remain in the risk set, are generally perceived as unnatural . One could say it is somewhat of a riddle why the Fine-Gray approach yields valid inference. To take away these uneasy feelings, we explore the link between the Fine-Gray and cause-specific approaches in more detail. We introduce the reduction factor as representing the proportion of subjects in the Fine-Gray risk set that has not yet experience

SUBMITTER: Putter H 

PROVIDER: S-EPMC7216972 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature