3 papers
stat.ME2026
Outcome-adapted Automatic Debiased Machine Learning
Asger Waagepetersen, Asbjørn Risom, Niels Richard Hansen +1
Parameters of interest in causal inference, such as treatment or policy effects, can often be expressed as linear functionals of an outcome regression function. Automatic debiased…
math.ST2025
Efficient adjustment for complex covariates: Gaining efficiency with DOPE
Alexander Mangulad Christgau, Anton Rask Lundborg, Niels Richard Hansen
Covariate adjustment is a ubiquitous method used to estimate the average treatment effect (ATE) from observational data. Assuming a known graphical structure of the data generating…
stat.ME2025
Perturbation-based Effect Measures for Compositional Data
Anton Rask Lundborg, Niklas Pfister
Existing effect measures for compositional features are inadequate for many modern applications, for example, in microbiome research, since they display traits such as high-dimensi…