Ontology highlight
ABSTRACT:
SUBMITTER: Gellar JE
PROVIDER: S-EPMC4591554 | biostudies-literature | 2015 Jun
REPOSITORIES: biostudies-literature
Gellar Jonathan E JE Colantuoni Elizabeth E Needham Dale M DM Crainiceanu Ciprian M CM
Statistical modelling 20150109 3
We extend the Cox proportional hazards model to cases when the exposure is a densely sampled functional process, measured at baseline. The fundamental idea is to combine penalized signal regression with methods developed for mixed effects proportional hazards models. The model is fit by maximizing the penalized partial likelihood, with smoothing parameters estimated by a likelihood-based criterion such as AIC or EPIC. The model may be extended to allow for multiple functional predictors, time va ...[more]