Efficient designs and analysis of two-phase studies with longitudinal binary data.

ABSTRACT: Researchers interested in understanding the relationship between a readily available longitudinal binary outcome and a novel biomarker exposure can be confronted with ascertainment costs that limit sample size. In such settings, two-phase studies can be cost-effective solutions that allow researchers to target informative individuals for exposure ascertainment and increase estimation precision for time-varying and/or time-fixed exposure coefficients. In this paper, we introduce a novel class of residual-dependent sampling (RDS) designs that select informative individuals using data available on the longitudinal outcome and inexpensive covariates. Together with the RDS designs, we propose a semiparametric analysis approach that efficiently uses all data to estimate the parameters. We descri

SUBMITTER: Di Gravio C 

PROVIDER: S-EPMC10871867 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature