I am a professor of biostatistics at the Erasmus Medical Center Rotterdam. My research focuses on joint models for longitudinal and time-to-event data with applications in biomarker identification, precision medicine, precision screening and active surveillance. I currently serve as a co-Editor for Biostatistics [twitter handle].
PhD in Biostatistics, 2008
Katholieke Universiteit Leuven
MSc in Statistics, 2004
Athens University of Economics and Business
BSc in Statistics, 2002
Athens University of Economics and Business
Computational methods for multivariate joint models.
Extensions of joint models for improving subject-specific predictions.
Novel methods for optimally planning when to collect longitudinal measurements or event information.
The current composition of my research group:
Pedro Manuel Miranda Afonso: Pedro works on extensions of joint models for recurrent event data and spatial correlations with applications in cystic fibrosis.
Arnau Garcia Fernandez: Arnau works in combinations of joint models and machine learning.
Nina van Gerwen: Nina works in causal dynamic predictions using joint models and machine learning.
Aglina Lika: Aglina works in developing methodology and software for Bayesian multivariate mixed effects models.
Fridtjof Petersen: Fridtjof works in extending joint models to the setting of intensive longitudinal data.
Zhenwei Yang: Zhenwei works on applications of joint models in personalized scheduling with applications in prostate cancer research.
The major R packages I have developed and currently maintain
JMbayes2: Extended Joint Models for Longitudinal and Time-to-Event Data
[GitHub]
[CRAN]
[website]
GLMMadaptive: Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
[GitHub]
[CRAN]
[website]
JMbayes: Joint Models for longitudinal and time-to-event data under a Bayesian approach
[GitHub]
[CRAN]
[JSS paper]
[multivatiate joint Models vignette]
[dynamic predictions vignette]
JM: Joint models for longitudinal and time-to-event data under maximum likelihood
[GitHub]
[CRAN]
[JSS paper]
[Book]
[Book website]
[sample_analysis]
ltm: Latent trait models under the Item Response Theory approach
[GitHub]
[CRAN]
[JSS paper]
[sample_analysis_dichotomous]
[sample_analysis_polytomous1]
[sample_analysis_polytomous2]
[sample_analysis_abilities]
[sample_analysis_information]
cvGEE: Cross-Validated Predictions and Caclulation of Proper Scoring rules for GEE
[GitHub]
[CRAN]
[website]
I am the coordinator for the following courses at Erasmus MC:
Repeated Measurements
In the GitHub repository a shiny app that replicates all analysis in the course
[course link]
[GitHub]
[slides]
Joint Models for Longitudinal and Survival Data
[course link]
[slides]
[solutions_practicals]
Survival Analysis
[course link]
[slides]
[practicals]
[solutions_practicals]
[Survival Analysis in R Companion]
Basic Concepts for Probability and Statistics & Variable Selection [course link] [slides basic concepts] [slides variable selection]
I have also been teaching short-courses in joint modeling in international conferences. A list of recent courses
Sun, Jul 6, 2025, 2nd Conference in Biostatistics & Health Analytics
Mon, Jul 15, 2024, 38th International Workshop on Statistical Modelling
Wed, Jul 10, 2024, Fifth International Workshop on Statistical Analyses of Multi-Outcome Data
Wed, Aug 30, 2023, International Society for Clinical Biostatistics Annual Conference
Mon, Aug 28, 2023, International Society for Clinical Biostatistics Annual Conference
I have written the first book on Joint Models for Longitudinal and Survival Data
R-forge website containing the R code to replicate the analysis
A trailer of my inaugural address is available here.
A full list of my publications and grants can be found in my CV.