ER Andrinopoulou

Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data.

Arxiv, 2023

Pedro Miranda Afonso, Dimitris Rizopoulos, Anushka K Palipana, Grace C Zhou, Cole Brokamp, Rhonda D Szczesniak, Eleni-Rosalina Andrinopoulou

PDF DOI

Lung Function Decline in Cystic Fibrosis. Impact of Data Availability and Modeling Strategies on Clinical Interpretations

Annals of the American Thoracic Society, 2023

Rhonda Szczesniak, Eleni-Rosalina Andrinopoulou, Weiji Su, Pedro M Afonso, Pierre-Régis Burgel, Elizabeth Cromwell, Emrah Gecili, Enas Ghulam, Christopher H Goss, Nicole Mayer-Hamblett, Ruth H Keogh, Theodore G Liou, Bruce Marshall, Wayne J Morgan, Joshua S Ostrenga, David J Pasta, Sanja Stanojevic, Claire Wainwright, Grace C Zhou, Gabriela Fernandez, Aliza K Fink, Michael S Schechter

PDF DOI

Association between changes in pulmonary function and in patient reported outcomes during enzyme therapy of adult patients with late-onset Pompe disease

Journal of Inherited Metabolic Disease, 2023

Aglina Lika, Eleni-Rosalina Andrinopoulou, Nadine A M E van der Beek, Dimitris Rizopoulos, Ans T van der Ploeg, Michelle E Kruijshaar

PDF DOI

Statistical primer - an introduction to the application of linear mixed-effects models in cardiothoracic surgery outcomes research. A case study using homograft pulmonary valve replacement data.

European Journal of Cardio-Thoracic Surgery, 2022

Xu Wang, Eleni-Rosalina Andrinopoulou, Kevin M Veen, Ad J J C Bogers, Johanna J M Takkenberg

PDF DOI

Computerised patient-specific prediction of the recovery profile of upper limb capacity within stroke services. The next step.

Journal of neurology, neurosurgery, and psychiatry, 2021

Ruud Selles, Eleni-Rosalina Andrinopoulou, Rinske Nijland, Rick van der Vliet, Jorrit Slaman, Erwin van Wegen, Dimitris Rizopoulos, Gerard Ribbers, Carel Meskers, Gert Kwakkel

PDF DOI

Reflections on modern methods. Dynamic prediction using joint models of longitudinal and time-to-event data.

International Journal of Epidemiology, 2021

Eleni-Rosalina Andrinopoulou, Michael O Harhay, Sarah J Ratcliffe, Dimitris Rizopoulos

PDF DOI

A Bayesian joint model for zero-inflated integers and left-truncated event times with a time-varying association. Applications to senior health care.

Statistics in medicine, 2021

Xavier Piulachs, Eleni-Rosalina Andrinopoulou, Montserrat Guillén, Dimitris Rizopoulos

PDF DOI

Individualized Dynamic Prediction Model for Patient-Reported Voice Quality in Early-Stage Glottic Cancer.

Otolaryngology–Head and Neck Surgery, 2024

Maarten C Dorr, Eleni-Rosalina Andrinopoulou, Aniel Sewnaik, Diako Berzenji, Kira S van Hof, Emilie A C Dronkers, Simone E Bernard, Arta Hoesseini, Dimitirs Rizopoulos, Robert J Baatenburg de Jong, Marinella P J Offerman

PDF DOI

Multivariate joint modeling to identify markers of growth and lung function decline that predict cystic fibrosis pulmonary exacerbation onset Outcomes.

BMC Pulmonary Medicine, 2020

Eleni-Rosalina Andrinopoulou, John P. Clancy, Rhonda Szczesniak

PDF DOI

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

Stat Methods Med Res, 2020

Eleni-Rosalina Andrinopoulou, Kazem Nasserinejad, Rhonda Szczesniak, Dimitris Rizopoulos

PDF DOI

Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splines.

Biometrics, 2018

Eleni-Rosalina Andrinopoulou, Paul H. C. Eilers, Johanna J. M. Takkenberg, Dimitris Rizopoulos

PDF DOI

Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structures.

Statistics in Medicine, 2016

Eleni-Rosalina Andrinopoulou, Dimitris Rizopoulos

PDF DOI

Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data.

Statistical Methods in Medical Research, 2017

Eleni-Rosalina Andrinopoulou, Dimitris Rizopoulos, Johanna JM Takkenberg, Emmanuel Lesaffre

PDF DOI

Joint modeling of two longitudinal outcomes and competing risk data.

Statistics in Medicine, 2014

Eleni-Rosalina Andrinopoulou, Dimitris Rizopoulos, Johanna J. M. Takkenberg, Emmanuel Lesaffre

PDF DOI

An introduction to mixed models and joint modeling: analysis of valve function over time.

The Annals of Thoracic Surgery , 2012

Eleni-Rosalina Andrinopoulou, Dimitris Rizopoulos, Ruyun Jin, Ad J.J.C. Bogers, Emmanuel Lesaffre, Johanna J.M. Takkenberg

PDF DOI

Eleni-Rosalina Andrinopoulou

Assistant professor in Biostatistics

Erasmus Medical Center Rotterdam

Biography

Interests

Education

Selected Publications

Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data.

Lung Function Decline in Cystic Fibrosis. Impact of Data Availability and Modeling Strategies on Clinical Interpretations

Association between changes in pulmonary function and in patient reported outcomes during enzyme therapy of adult patients with late-onset Pompe disease

Statistical primer - an introduction to the application of linear mixed-effects models in cardiothoracic surgery outcomes research. A case study using homograft pulmonary valve replacement data.

Computerised patient-specific prediction of the recovery profile of upper limb capacity within stroke services. The next step.

Reflections on modern methods. Dynamic prediction using joint models of longitudinal and time-to-event data.

A Bayesian joint model for zero-inflated integers and left-truncated event times with a time-varying association. Applications to senior health care.

Individualized Dynamic Prediction Model for Patient-Reported Voice Quality in Early-Stage Glottic Cancer.

Multivariate joint modeling to identify markers of growth and lung function decline that predict cystic fibrosis pulmonary exacerbation onset Outcomes.

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

Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splines.

Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structures.

Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data.

Joint modeling of two longitudinal outcomes and competing risk data.

An introduction to mixed models and joint modeling: analysis of valve function over time.

Projects

Analysis of lung function decline

Connection of geomarkers and lung function

Dynamic prediction modelling of recovery in longitudinal stroke data

Recent & Upcoming Talks

Linking US registry data with geomarker data. Longitudinal associations between environmental factors and lung function decline

Challenges and opportunities in the analysis of clinical data

Estimating Cystic Fibrosis Lung Function Decline: An Empirical Study

Challenges and opportunities of combined analysis of multiple outcomes in longitudinal studies

Dynamic prediction modelling in hand disorders after stroke using a latent class multivariate mixed model

My Team

Aglina Lika

Pedro Afonso

Xu Wang

Teaching

CV

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