3 citations · 4 across the 4 of their papers we have counts for
4 papers
Practically significant differences between conditional distribution functions
Holger Dette, Kathrin Möllenhoff, Dominik Wied
In the framework of semiparametric distribution regression, we consider the problem of comparing the conditional distribution functions corresponding to two samples. In contrast to…
Capturing heterogeneous time-variation in covariate effects in non-proportional hazard regression models
Niklas Hagemann, Thomas Kneib, Kathrin Möllenhoff
A central focus in survival analysis is examining how covariates influence survival time. These covariate effects are often found to be either time-varying, heterogeneous - such as…
Survival analysis under non-proportional hazards: investigating non-inferiority or equivalence in time-to-event data
Kathrin Möllenhoff, Achim Tresch
The classical approach to analyze time-to-event data, e.g. in clinical trials, is to fit Kaplan-Meier curves yielding the treatment effect as the hazard ratio between treatment gro…
Equivalence tests for binary efficacy-toxicity responses
Holger Dette, Kathrin Möllenhoff, Frank Bretz
Clinical trials often aim to compare a new drug with a reference treatment in terms of efficacy and/or toxicity depending on covariates such as, for example, the dose level of the…