Novel two-phase sampling designs for studying binary outcomes.

ABSTRACT: In biomedical cohort studies for assessing the association between an outcome variable and a set of covariates, usually, some covariates can only be measured on a subgroup of study subjects. An important design question is-which subjects to select into the subgroup to increase statistical efficiency. When the outcome is binary, one may adopt a case-control sampling design or a balanced case-control design where cases and controls are further matched on a small number of complete discrete covariates. While the latter achieves success in estimating odds ratio (OR) parameters for the matching covariates, similar two-phase design options have not been explored for the remaining covariates, especially the incompletely collected ones. This is of great importance in studies where the covariates o

SUBMITTER: Wang L 

PROVIDER: S-EPMC7042058 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature