15 citations · 18 across the 7 of their papers we have counts for
7 papers
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…
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…
Learning from data with structured missingness
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti +17
Missing data are an unavoidable complication in many machine learning tasks. When data are `missing at random' there exist a range of tools and techniques to deal with the issue. H…
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…
Improved Dynamic Predictions from Joint Models of Longitudinal and Survival Data with Time-Varying Effects using P-splines
Eleni-Rosalina Andrinopoulou, Paul H. C. Eilers, Johanna J. M. Takkenberg +1
In the field of cardio-thoracic surgery, valve function is monitored over time after surgery. The motivation for our research comes from a study which includes patients who receive…
Dynamic Predictions with Time-Dependent Covariates in Survival Analysis using Joint Modeling and Landmarking
Dimitris Rizopoulos, Magdalena Murawska, Eleni-Rosalina Andrinopoulou +3
A key question in clinical practice is accurate prediction of patient prognosis. To this end, nowadays, physicians have at their disposal a variety of tests and biomarkers to aid t…