BioinformaticsbioRxivPreprint
Statistical Methods for Binary Outcomes Adjusting for Outcome Dependent Sampling in Longitudinal Studies with Nonignorable Dropout
Carter J. Sevick, Samantha MaWhinney, Peter L. Anderson, Camille M. Moore
The paper develops statistical methods to adjust for nonignorable dropout in longitudinal studies with outcome-dependent sampling, using mixture models and the BUILD R package.
DOI 10.1101/2025.08.30.673241