A regularized variable selection procedure in additive hazards model with stratified case-cohort design.

ABSTRACT: Case-cohort designs are commonly used in large epidemiological studies to reduce the cost associated with covariate measurement. In many such studies the number of covariates is very large. An efficient variable selection method is needed for case-cohort studies where the covariates are only observed in a subset of the sample. Current literature on this topic has been focused on the proportional hazards model. However, in many studies the additive hazards model is preferred over the proportional hazards model either because the proportional hazards assumption is violated or the additive hazards model provides more relevent information to the research question. Motivated by one such study, the Atherosclerosis Risk in Communities (ARIC) study, we investigate the properties of a regularized v

SUBMITTER: Ni A 

PROVIDER: S-EPMC5787409 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature