Random survival forests for competing risks.

ABSTRACT: We introduce a new approach to competing risks using random forests. Our method is fully non-parametric and can be used for selecting event-specific variables and for estimating the cumulative incidence function. We show that the method is highly effective for both prediction and variable selection in high-dimensional problems and in settings such as HIV/AIDS that involve many competing risks.

SUBMITTER: Ishwaran H 

PROVIDER: S-EPMC4173102 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature