2 papers
stat.AP2026
A Guide to Estimating Conditional Average Treatment Effects in Competing Risks Settings
Daniel Klippert, Sarah Friedrich, Markus Pauly
Conditional average treatment effects (CATEs) are central to treatment decision-making in personalized medicine. In competing risks settings, estimating CATEs from survival data al…
stat.ME2026
A Simulation Study to Compare Inferential Properties when Modelling Ordinal Outcomes: The Case for the (Plain but Robust) Proportional Odds Model
Stefan Inerle, Markus Pauly, Moritz Berger
Ordinal measurements are common outcomes in studies within psychology, as well as in the social and behavioral sciences. Choosing an appropriate regression model for analysing such…