Two-wave two-phase outcome-dependent sampling designs, with applications to longitudinal binary data.

ABSTRACT: Two-phase outcome-dependent sampling (ODS) designs are useful when resource constraints prohibit expensive exposure ascertainment on all study subjects. One class of ODS designs for longitudinal binary data stratifies subjects into three strata according to those who experience the event at none, some, or all follow-up times. For time-varying covariate effects, exclusively selecting subjects with response variation can yield highly efficient estimates. However, if interest lies in the association of a time-invariant covariate, or the joint associations of time-varying and time-invariant covariates with the outcome, then the optimal design is unknown. Therefore, we propose a class of two-wave two-phase ODS designs for longitudinal binary data. We split the second-phase sample selection into

SUBMITTER: Tao R 

PROVIDER: S-EPMC8110123 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature