Resampling & Randomization-Based Inference
Research on bootstrap, permutation and randomization-based inference.
I work on resampling-based methods for complex statistical designs, including bootstrap, permutation, and randomization procedures.
A current focus concerns inference for relative effects in repeated-measures and factorial settings with incomplete observations.
Recent Work
Dobler, Kuhn, Amro & Sattler (2026)
Generalized multivariate Mann-Whitney-(U) tests and confidence regions for relative effects under random missingness
arXiv:2609.07435