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stat.ME2025
Variable importance measures for heterogeneous treatment effects
Oliver J. Hines, Karla Diaz-Ordaz, Stijn Vansteelandt
Motivated by applications in precision medicine and treatment effect heterogeneity, recent research has focused on estimating conditional average treatment effects (CATEs) using ma…
stat.ME2025
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
Oliver Dukes, Stijn Vansteelandt, David Whitney
Due to concerns about parametric model misspecification, there is interest in using machine learning to adjust for confounding when evaluating the causal effect of an exposure on a…