Research institutes

Methodology and Statistics

The Department of Methodology and Statistics of the Faculty of Health Medicine and Life Sciences (FHML) works in close collaboration with the Department of Methodology and Statistics of the Faculty of Psychology and Neuroscience (FPN) under common leadership. Together we are a group of around 20 staff members from PhD student to Professor.

Fast facts

Led by Prof. Dr. Gerard van Breukelen (G.J.P.)
Specialised in various methods of analysis
Statistics eduction in several BA and MA programmes
Active in 3 domains: Research, Consultancy and Education

About us

The Department of Methodology and Statistics (M&S) is incorporated within the Faculty of Health Medicine and Life Sciences (FHML) and the Faculty of Psychology and Neuroscience (FPN). Together we are a small group of around 20 staff members from PhD student to Professor.

Prevention is the better cure

D. Erasmus - Dutch Philosopher, Humanist and Theologian

Our mission is to share statistical knowledge, develop and apply statistical methods to better understand the world and advance the statistical discipline.

Our vision is to contribute to the society by our own research work, collaborations with other disciplines and teaching activities.

To consult the statistician after an experiment is finished is often merely to ask him to conduct a post-mortem examination. He can perhaps say what the experiment died of.

R. Fisher - British Polymath

The members of our department

Active in 3 domains

Education

Providing high quality statistical education. We are currently involved in all six FHML and FPN Bachelor programs, four master programs, and the interfaculty Bachelor program Global Studies. We also provide advanced PhD courses. Our courses are well evaluated by students.

Education
Research

Developing statistical methods recognized at the international level to deal with statistical issues arising with the increasing complexity of the data in domains such as sample size calculations, optimal designs, mixed (multilevel) regression models, missing data, agreement and reliability, cost effectiveness analysis and detection of person-situation interactions.

Research
Consultancy

Assisting master students and interacting with researchers from other disciplines in their quantitative studies by giving advice and providing support from the planning to the publication stage of their research. Researchers also directly benefit from new statistical methods developed during our own research. We are currently co-promotor of more than 17 PhD students from different research schools.

Consultancy