3 citations · 4 across the 9 of their papers we have counts for
9 papers
A Better Comparison under right-censoring: ABC Statistic for Equivalence Testing and Quantification
Simon Mack, Kathrin Möllenhoff, Dennis Dobler
The ABC (area between curves) statistic is an -distance which targets an easy-to-interpret estimand. Defined as the (normalized) integrated absolute distance between two survi…
Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection
Lucia Ameis, Niklas Hagemann, Kathrin Möllenhoff
Evaluating the influence of continuous covariates, like exposure time or dose, on a response variable is a pivotal objective in the assessment of a compound's effect, particularly…
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…
Identification of changes in gene expression
Lucia Ameis, Kathrin Möllenhoff
Evaluating the change in gene expression is a common goal in many research areas, such as in toxicological studies as well as in clinical trials. In practice, the analysis is often…
Comparing regression curves -- an -point of view
Patrick Bastian, Holger Dette, Lukas Koletzko +1
In this paper we compare two regression curves by measuring their difference by the area between the two curves, represented by their -distance. We develop asymptotic confiden…
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…
Equivalence of dose response curves
Holger Dette, Kathrin Möllenhoff, Stanislav Volgushev +1
This paper investigates the problem whether the difference between two parametric models describing the relation between a response variable and several covariates in two…