2 citations · 3 across the 2 of their papers we have counts for
3 papers
Extended Joint Models for Longitudinal and Time-to-Event Data: A Tutorial
Pedro Miranda-Afonso, Dimitris Rizopoulos
Shared-parameter joint models for longitudinal and time-to-event data are powerful tools for analyzing repeatedly measured biomarkers, clinical events, and the complex relationship…
A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data
Pedro Miranda Afonso, Dimitris Rizopoulos, Anushka K. Palipana +5
Joint models for longitudinal and survival data have become a popular framework for studying the association between repeatedly measured biomarkers and clinical events. Nevertheles…
Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data
P. Miranda Afonso, D. Rizopoulos, A. K. Palipana +4
The joint modeling of longitudinal and time-to-event outcomes has become a popular tool in follow-up studies. However, fitting Bayesian joint models to large datasets, such as pati…