Ontology highlight
ABSTRACT:
SUBMITTER: Bellach A
PROVIDER: S-EPMC6502476 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Journal of the American Statistical Association 20180709 525
Direct regression modeling of the subdistribution has become popular for analyzing data with multiple, competing event types. All general approaches so far are based on non-likelihood based procedures and target covariate effects on the subdistribution. We introduce a novel weighted likelihood function that allows for a direct extension of the Fine-Gray model to a broad class of semiparametric regression models. The model accommodates time-dependent covariate effects on the subdistribution hazar ...[more]