I am assistant professor of Biostatistics at the Department of Biostatistics, Erasmus MC, Rotterdam, the Netherlands.
My research interests comprise modeling of longitudinal data, in particular for blood donation research, Bayesian methods for clinical trials to account for historical data, decision-analytic modeling and cost-effectiveness research, multi-state Markov models, and evaluation of early detection of disease. In my research, methods for longitudinal data such as multivariate mixed models and growth mixture models are used to predict recovery of hemoglobin levels after blood donation and help decide optimal donation policies. Bayesian methods for including data of historical controls are developed to improve statistical power and precision of clinical trials.
I have also worked on methodological and applied research for the health-economic evaluation of cancer screening using multi-state (Markov) models and decision-analytic modeling.
I have been involved in the supervision of 6 PhD candidates, of whom 4 have finished their PhDs (1 cum laude).
In addition, a considerable proportion of my time is spent on biostatistical consultations to clinical researchers in Erasmus MC and the Albert Schweitzer Hospital in Dordrecht, the Netherlands. Many of these consultations are in the form of a long-running collaboration with the department of Pediatric Surgery of Erasmus MC.
Finally I regularly teach introductory courses on statistics and mathematics to undergraduate students of medicine and students of the NIHES research school. I have published over 125 international scientific papers (H-index = 18).
Field(s) of expertise
- Repeated measurements
- Bayesian statistics
- Historical data
- Modelling of blood donation data
- Decision-analytic modelling
A complete overview of publications can be found here: