3 papers
stat.ML2026
The Generalised Kernel Covariance Measure
Luca Bergen, Dino Sejdinovic, Vanessa Didelez
We consider the problem of conditional independence (CI) testing and adopt a kernel-based approach. Kernel-based CI tests embed variables in reproducing kernel Hilbert spaces, regr…
stat.ME2025
Bounds for causal mediation effects
Marie S. Breum, Vanessa Didelez, Erin E. Gabriel +1
Several frameworks have been proposed for studying causal mediation analysis. What these frameworks have in common is that they all make assumptions for point identifications that…
stat.ME2025
The risks of risk assessment: causal blind spots when using prediction models for treatment decisions
Nan van Geloven, Ruth H Keogh, Wouter van Amsterdam +12
Clinicians increasingly rely on prediction models to guide treatment choices. Most prediction models, however, are developed using observational data that include some patients who…