4 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…