About me
I’m a second-year master’s student in the Methodology and Statistics for the Behavioural, Biomedical and Social Sciences, Faculty of Social and Behavioural Sciences, Utrecht University. My research interests lie in causal inference, prediction modeling, and their applications in public health and health economics.
I’m conducting my master’s thesis under the supervision of Wouter van Amsterdam at University Medical Center Utrecht, focusing on validating the theoretical behavior of prognostic and diagnostic models under shifts in case-mix. Specifically, I build multiple prognostic and diagnostic models using logistic regression to investigate how calibration remains stable in prognostic models, while discrimination remains stable in diagnostic models, despite variations in case-mix. This work aims to deepen our understanding of model behavior and robustness, contributing to reliable clinical and policy decision-making.
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