Welkom, Welcome, Wilkommen
Hi there! My name is Jeroen, and I am a statistical researcher specialized in longitudinal data analysis methods for causal inference. In my research, I evaluate, compare, and develop analysis methods that are used in a variety of disciplines, ranging from psychology and social sciences, to epidemiology and biostatistics. I currently work as a postdoctoral researcher at Utrecht University (the Netherlands).
- Causal Inference
- Longitudinal Data Analysis
- Structural Equation Modeling
PhD Methods and Statistics
Universiteit Utrecht
MSc Methodology and Statistics for the Behavioural, Biomedical, and Social Sciences
Universiteit Utrecht
BSc Communication Science
Universiteit van Twente
Currently, my project concerns the use causal inference techniques (e.g., g-methods, debiased machine learning techniques) for the analysis of longitudinal, observational data in research in psychology and related disciplines.
I find it important to always keep the end-users of the statistical methods (i.e., applied researchers) in mind. Therefore, I devote considerable time to the readability and comprehensibility of my academic articles; develop user-friendly applications for others to apply analytical techniques; and enjoy presenting about it at conferences and during lectures for bachelor and master students, doctoral candidates, and postdoctoral researchers.
If you have questions or suggestions for collaborations (both methodological or more empirical work), or if you are interested in consultation, please do not hesitate to contact me.
An introduction to joint effects in a cross-lagged panel setting. We compare the estimation of such joint effects with structural equation models and with g-estimation of structural nested mean models.
Jun 17, 2024
An applied research project in which we use Bayesian multilevel growth curve model to describe individual differences in the development of behavioral and neural responses to social rejection in children.
Apr 1, 2024
We describe three phases of causal research to better understand the differences between a structural equation modeling approach and a g-methods approach to studying effects of a time-varying exposure.
Mar 19, 2024
An panel discussion on how researchers can find the right experts for studying (the impact of) science communication efforts?.
Jan 21, 2025
An invited talk about issues and solutions in causal inference in cross-lagged panel research at the Max Planck Institute for Human Development.
Oct 9, 2024
An invited talk about issues and solutions in causal inference in cross-lagged panel research at the Universität Leipzig.
Oct 1, 2024
A personal TED-talk about disclosing your sexual identity. I gave this talk when I was a student in Communication Sciences at the University of Twente.
Apr 28, 2016