Reposted by Dimitris Rizopoulos
@drizopoulos.bsky.social and I have written a tutorial on extended joint models for longitudinal and time-to-event data.
Using JMbayes2, we cover models with multiple longitudinal outcomes, flexible association structures, recurrent events, competing risks, and multistate processes.
doi.org
Extended Joint Models for Longitudinal and Time-to-Event Data: A Tutorial
Shared-parameter joint models for longitudinal and time-to-event data are powerful tools for analyzing repeatedly measured biomarkers, clinical events, and the complex relationships between them. Rece...
