We focus on developing methods for statistical modelling in clinical and epidemiological studies and analysing large cohort data. We develop decision analysis techniques to support benefit-risk assessments of medicines and medical decision-making.
Our unit teaches statistical methods to undergraduate and postgraduate students through a range of basic and advanced courses, and we provide statistical support to other researchers through the Clinical Research Office and through short- and long-term collaborations with various clinical departments in the UMCG.
We focus on analysing large cohort and genomic data sets to further our understanding of disease and biology.
We provide teaching on topics in machine learning and statistics, to equip students with the concepts and skills to correctly and efficiently set up studies and interpret results, enabling them to evidence-based improvement of standards of care.
We develop novel methodologies to add value to cohort databases such as Lifelines, by applying "unsupervised learning" techniques to these large databases. In addition we run studies in which we apply machine learning methods to functional genomic assays such as ATAC-seq and RNA-seq to improve our understanding of basic biology and cellular processes.
University Medical Center Groningen (UMCG)
Department of Epidemiology
PO Box 30.001
9700 RB Groningen
The Netherlands
Visiting Address
University Medical Center Groningen (UMCG)
Department of Epidemiology
Hanzeplein 1
9713 GZ Groningen
location: Zusterhuis B1 ING 27
