activity
20182025
most citedEfficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

4 papers

stat.AP2025

Unveiling the Impact of Social and Environmental Determinants of Health on Lung Function Decline in Cystic Fibrosis through Data Integration using the US Registry

Eleni-Rosalina Andrinopoulou, Emrah Gecili, Rhonda D Szczesniak

Integrating diverse data sources offers a comprehensive view of patient health and holds potential for improving clinical decision-making. In Cystic Fibrosis (CF), which is a genet…

stat.ME2024

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…

stat.CO20232 cited

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…

stat.AP2018

Integrating Latent Classes in the Bayesian Shared Parameter Joint Model of Longitudinal and Survival Outcomes

Eleni-Rosalina Andrinopoulou, Kazem Nasserinejad, Rhonda Szczesniak +1

Cystic fibrosis is a chronic lung disease which requires frequent patient monitoring to maintain lung function over time and minimize onset of acute respiratory events known as pul…