dr. B. (Bart) Mertens



  • statistical methods for high-dimensional omics (proteomics, metabolomics, lipidomics)
  • prediction with missing values
  • bayesian statistics


PhD - Statistical Sciences - Department of Statistics, University College London (UK) 

MSc - Biostatistics - Diepenbeek Center for Statistics (Belgium)  

Licentiate - Maths - Univ. Leuven (Belgium)  


My two main research interests at the moment are: 

  • development of statistical methods for diagnosis and prediction in mass spectroscopy proteomics, metabolomics  
  • prediction in the presence of missing data

General research interest in Bayesian methods, classification and discriminant analysis, prediction, diagnosis and (cross-) validatory analysis,  missing values 


I am currently teaching the below 3 courses.

Clinical Research in Practice Currently teaching the course Clinical Research in Practice for fourth year (Masters) students in Biomedical Science. The course focuses on logistic regression and survival analysis in a strong interdisciplinary context (joint with Dep. Epidemiology and Medical Information Science).

Bayesian Statistics Introduction to Bayesian statistics for MSc students in statistical sciences

Regression Analysis Introduction for PhD students



Leids Universitair Medisch Centrum
Gebouw 2
Kamer S-05-038

Einthovenweg 20
2333 ZC Leiden
Tel: 071 5269706

Postzone S5-P
Postbus 9600
2300 RC Leiden

E-mail: B.Mertens@lumc.nl