Longitudinal studies of binary response data following case-control and stratified case-control sampling: design and analysis.

ABSTRACT: We discuss design and analysis of longitudinal studies after case-control sampling, wherein interest is in the relationship between a longitudinal binary response that is related to the sampling (case-control) variable, and a set of covariates. We propose a semiparametric modeling framework based on a marginal longitudinal binary response model and an ancillary model for subjects' case-control status. In this approach, the analyst must posit the population prevalence of being a case, which is then used to compute an offset term in the ancillary model. Parameter estimates from this model are used to compute offsets for the longitudinal response model. Examining the impact of population prevalence and ancillary model misspecification, we show that time-invariant covariate parameter estimates

SUBMITTER: Schildcrout JS 

PROVIDER: S-EPMC3051172 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature