BioinformaticsbioRxivPreprint
Using joint models to adjust for informative drop-out when modelling a longitudinal biomarker: an application to type 2 diabetes disease progression
Harry Green, Katie G. Young, Angus G. Jones…·John Dennis
The paper applies joint longitudinal-survival models to adjust for censoring bias in HbA1c trajectory analysis in type 2 diabetes patients, finding a higher gradient with the joint model compared to linear mixed effects models.
DOI 10.1101/2021.06.17.448796