Statistical Methods for Binary Outcomes Adjusting for Outcome Dependent Sampling in Longitudinal Studies with Nonignorable Dropout.

ABSTRACT: 1.Longitudinal clinical trials and cohort studies often collect clinical data paired with stored biospecimens. An increasing focus of biomedical research is aimed at leveraging these existing specimens to address new research questions. When a hypothesis of interest proposes to utilize costly, limited or difficult to obtain samples, it may not be possible or desirable to assay all samples. In these situations informed sampling strategies (ISS) can be used to minimize costs and preserve biospecimens by providing a framework to select a subset of subjects that is more informative than a simple random sample. The samples from selected subjects can be assayed and the resulting data can be analyzed in concert with an analytical correction. Dropout is common in longitudinal studies but existing

SUBMITTER: Sevick CJ 

PROVIDER: S-EPMC12424759 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature