12 citations · 24 across the 4 of their papers we have counts for
4 papers
Smooth Transformation Models for Survival Analysis: A Tutorial Using R
Sandra Siegfried, Bálint Tamási, Torsten Hothorn
Over the last five decades, we have seen strong methodological advances in survival analysis, using parametric methods and, more prominently, methods based on non-/semi-parametric…
Transformation Discriminant Analysis for Constructing Optimal Biomarker Combinations
Ainesh Sewak, Sandra Siegfried, Torsten Hothorn
Accurate diagnostic tests are essential for effective screening and treatment. However, individual biomarkers often fail to provide sufficient diagnostic accuracy, as they typicall…
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…
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…