The department of Biostatistics develops novel statistical models and procedures that are motivated and applied in clinical, epidemiological and public health research and practice.

About our department

Our research

The current areas of active research of the department cover the following topics:

- Longitudinal Data Analysis & Hierarchical Modeling

- Survival Analysis

- Joint Modeling of Longitudinal and Time-to-Event Data

- Statistical Analysis with Missing Data

- Modern Analysis of Clinical Trials

- Bioinformatics and Statistical Genetics

- Growth Curves

- Smoothing Techniques

- Bayesian Modeling

Principal Investigators

Dimitris Rizopoulos, prof. dr., head of the department:

Eleni Rosalina Andrinopoulou, dr.:

Lidia Arends, prof. dr.

Nicole Erler, dr.:

Joost van Rosmalen, dr.

Sten Willemsen, dr.

Research Lines

Individualized Dynamic Predictions:

Individualized predictions play a key role in precision medicine and shared decision making. Joint models for longitudinal and survival data have been shown to be a valuable tool in this context. In this research line we study and explore different types of extensions of joint models that can improve the quality of the derived predictions.


Personalized Active Surveillance and Screening

Decision making in medicine has become increasingly complex for patients and practitioners. This has resulted from factors such as the shift away from physician authority toward shared decision making, unfiltered information on the Internet, new technology providing additional data, numerous treatment options with associated risks and benefits, and results from new clinical studies. Within this context medical screening procedures are routinely performed for several diseases. In general, the aim of screening procedures is to optimize the benefits, i.e., early detection of disease or deterioration of the condition of a patient, while also balancing the respective costs.

In this research line we develop novel techniques for optimally choosing when to collect biomarker information for patients in a screening phase, and when to plan an invasive procedure. The key element of these techniques is their personalized and dynamic nature, i.e., they suitably adapt utilizing the available information on a patient.


Statistical Analysis with Missing Data

The statistical analysis of almost any type of data collected in human health research is complicated from incomplete information. Even though researchers would like to obtain specific measurements from the study participants, very often this information is missing. In this research line we develop new statistical analysis techniques that allow to make the optimal use of the available data and derive the most useful and relevant conclusions.


Novel Analysis of Clinical Trials

Clinical trials are the primary tool for evaluating the efficacy and safety of new medications and procedures. However, to achieve these results clinical trial typically require enrolling many patients. In this research line we develop novel methodology for analyzing clinical trials using information from previous studies, and hence decreasing the required number of patients to be enrolled.

Notable results

Book by prof.dr. Dimitris Rizopoulos
Joint Models for Longitudinal and Time-to-Event Data: With Applications in R by Dimitris Rizopoulos

Book by prof.dr. Emmanuel Lesaffre
Bayesian Biostatistics by Emmanuel Lesaffre and Andrew B. Lawson

2013 Vidi for Dimitris Rizopoulos

2018 - Seven new members Young Erasmus Academy

Thesis Department of Biostatistics


Titel Thesis



dr. M.A. Molas

Complex Data Modelling Using Likelihood and H-Likelihood Methods

20 Nov 2012

Prof.dr. E.M.E.H. Lesaffre

dr. J.J. de Rooi

Penalized Estimation in High-Dimensional Data Analysis

24 Oct 2013 P.H.C. Eilers (Paul)

dr. V. Rockova

Bayesian Variable Selection in High-dimensional Applications

12 Nov 2013

Prof.dr. E.M.E.H. Lesaffre

dr. M. Murawska

Extensions in Joint Modeling of Survival and Longitudinal Outcomes

24 Apr 2014

Dr. D. Rizopoulos (Dimitris)

dr. B. Li

Multilevel Regression Models for Mean and (Co)variance: with Applications in Nursing Research

17 June 2014

Prof.dr. E.M.E.H. Lesaffre

dr. K. Sikorska

Computationally Fast Approaches to Genome-Wide Association Studies

24 Sept 2014

Prof.dr. E.M.E.H. Lesaffre

dr. E.R. Andrinopoulou

Joint Modelling of Longitudinal and Survival Data with Applications in Heart Valve Data

18 Nov 2014

Dr. D. Rizopoulos (Dimitris)

dr. K. Nasserinejad

Modeling Longitudinal Data of Blood Donors

07 Sept 2016

Prof.dr. E.M.E.H. Lesaffre
Dr. J.M. van Rosmalen (Joost)

dr. S.R. Bryan

Prediction of Visual Prognosis to Optimize Frequency of Perimetric Testing in Glaucoma

04 Oct 2017

Prof.dr. E.M.E.H. Lesaffre
Prof.dr. P.H.C. Eilers (Paul)
Prof.dr. H.G. Lemij (Hans)
Prof.dr. K.A. Vermeer (Koen)

dr. S.P. Willemsen

Multivariate Growth Models

15 Dec 2017

Prof.dr. E.M.E.H. Lesaffre

dr. N.S. Erler

Bayesian imputation of missing covariates

12 Jun 2019

Prof.dr. D. Rizopoulos (Dimitris)
Prof.dr. E.M.E.H. Lesaffre

dr. S.J. Baart

Predicting clinical outcomes in cardiovascular diseases: Methodological advancements and applications

08 Oct 2019

Prof.dr. D. Rizopoulos (Dimitris) H. Boersma (Eric)


For publications, please follow the link on the name of the researcher

Head Department of Biostatistics

Dimitris Rizopoulos, prof.dr.


Lidia Arends prof.dr.
Elrozy Andrinopoulou, dr. 
Nicole Erler, dr.
Joost van Rosmalen, dr.
Sten Willemsen, dr.

Emeriti Biostatistics

Emmanuel Lesaffre, prof. dr.
Paul Eilers,
Wim Hop, dr.



News, events and awards

Our news

6 September 2019, Inaugural Lecture - prof. dr. Dimitris Rizopoulos

1 April 2019, dr. E.R. Andrinopoulou Promoted to Assistant Professor

Awards and grants

Awards Department of Biostatistics





Presentation / Poster


Magdalena Murawska

ISCB 33rd

Student Conference Award

Dynamic Prediction Based on Joint Model for Categorical Response and Time-to-Event


Eleni Rosalina Andrinopoulou

IWSM 27th

Extraordinary Student Oral Presentaion

Joint Modeling of Two Longitudinal Outcomes and Competing Risk Data. An Application in Cardio Data.


Eleni Rosalina Andrinopoulou

SAM 2nd

Poster Award

Combined Dynamic Predictions Using Joint Models of Multiple Longitudinal Outcomes and Competing Risk Data


Eleni Rosalina Andrinopoulou

ISCB 35rd

Student Confrence Award

Combined Dynamic Predictions Using Joint Models of Multiple Longitudinal Outcomes and Competing Risk Data


Kazem Nasserinejad

EMR - IBS 8th

EMR Student Schlarship

Latent Class Mixed-Effects Transition Model: A model to predict hemoglobin in blood donors


Nicole Erler

EMR - IBS 8th

Student Conference Award

Missing Covariates in Epidemiologic Studies: MI vs. a Full Bayesian Approach


Nicole Erler

ISCB 37th

Student Conference Award

Bayesian imputation of time-varying covariates in linear mixed models


Anirudh Tomer

EMR - IBS 10th

Student Conference Award

Personalized schedules for surveillance of low risk prostate cancer patients


Anirudh Tomer

IBC 2018

2nd Best oral speaker

Personalized schedules for surveillance of low risk prostate cancer patients


BSc & MSc students

Postdoc Researchers

Our Researchers

J.M. (Joost) van Rosmalen, PhD, link to profile

dr. S. (Sten) Willemsen, link to profile

E.R. (Elrozy) Andrinopoulou, PhD, link to profile

prof. dr. L. Arends, link to profile


Our Postdocs

N.S. (Nicole) Erler, PhD, link to profile

S. (Sara) Baart, PhD, link to profile



PhD students

Any questions?

Please contact our office if you have any questions or comments.