739 citations · 1.4k across the 25 of their papers we have counts for
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Transformation models for ROC analysis
Ainesh Sewak, Torsten Hothorn
Receiver operating characteristic (ROC) analysis is one of the most popular approaches for evaluating and comparing the accuracy of medical diagnostic tests. Although various metho…
Distribution-Free Location-Scale Regression
Sandra Siegfried, Lucas Kook, Torsten Hothorn
We introduce a generalized additive model for location, scale, and shape (GAMLSS) next of kin aiming at distribution-free and parsimonious regression modelling for arbitrary outcom…
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
Susanne Dandl, Torsten Hothorn, Heidi Seibold +3
Estimation of heterogeneous treatment effects (HTE) is of prime importance in many disciplines, ranging from personalized medicine to economics among many others. Random forests ha…
Joint Count Transformation Models with Covariate-dependent Correlations
Lukas Graz, Luisa Barbanti, Roland Brandl +1
Joint Species Distribution Models are essential for understanding how ecological covariates shape species communities. However, most existing approaches are limited by rigid parame…
On the relevance of prognostic information for clinical trials: A theoretical quantification
Sandra Siegfried, Stephen Senn, Torsten Hothorn
The question of how individual patient data from cohort studies or historical clinical trials can be leveraged for designing more powerful, or smaller yet equally powerful, clinica…
Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting
Moritz N. Lang, Lisa Schlosser, Torsten Hothorn +3
While circular data occur in a wide range of scientific fields, the methodology for distributional modeling and probabilistic forecasting of circular response variables is rather l…