Improving the efficiency of estimation in the additive hazards model for stratified case-cohort design with multiple diseases.

ABSTRACT: The case-cohort study design has often been used in studies of a rare disease or for a common disease with some biospecimens needing to be preserved for future studies. A case-cohort study design consists of a random sample, called the subcohort, and all or a portion of the subjects with the disease of interest. One advantage of the case-cohort design is that the same subcohort can be used for studying multiple diseases. Stratified random sampling is often used for the subcohort. Additive hazards models are often preferred in studies where the risk difference, instead of relative risk, is of main interest. Existing methods do not use the available covariate information fully. We propose a more efficient estimator by making full use of available covariate information for the additive hazard

SUBMITTER: Kim S 

PROVIDER: S-EPMC4715780 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature