Robust estimation for homoscedastic regression in the secondary analysis of case-control data.

ABSTRACT: Primary analysis of case-control studies focuses on the relationship between disease D and a set of covariates of interest (Y, X). A secondary application of the case-control study, which is often invoked in modern genetic epidemiologic association studies, is to investigate the interrelationship between the covariates themselves. The task is complicated owing to the case-control sampling, where the regression of Y on X is different from what it is in the population. Previous work has assumed a parametric distribution for Y given X and derived semiparametric efficient estimation and inference without any distributional assumptions about X. We take up the issue of estimation of a regression function when Y given X follows

SUBMITTER: Wei J 

PROVIDER: S-EPMC3639015 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature