1 citations · 1 across the 7 of their papers we have counts for
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Simulation-Free Bayesian Power and Sample Size Calculations for Bayes Factors in Single-Arm Phase II Trials with Binary Endpoints
Riko Kelter, Kathrin Möllenhoff
Bayes factors provide a coherent Bayesian measure of evidence for competing hypotheses and have recently been used as the basis for single-arm phase II trial designs with binary en…
Overcoming model uncertainty -- how equivalence tests can benefit from model averaging
Niklas Hagemann, Kathrin Möllenhoff
A common problem in numerous research areas, particularly in clinical trials, is to test whether the effect of an explanatory variable on an outcome variable is equivalent across d…
Testing for similarity of multivariate mixed outcomes using generalised joint regression models with application to efficacy-toxicity responses
Niklas Hagemann, Giampiero Marra, Frank Bretz +1
A common problem in clinical trials is to test whether the effect of an explanatory variable on a response of interest is similar between two groups, e.g. patient or treatment grou…
Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare
Kathrin Möllenhoff, Nadine Binder, Holger Dette
The identification of similar patient pathways is a crucial task in healthcare analytics. A flexible tool to address this issue are parametric competing risks models, where transit…
A non-parametric proportional risk model to assess a treatment effect in time-to-event data
Lucia Ameis, Oliver Kuß, Annika Hoyer +1
Time-to-event analysis often relies on prior parametric assumptions, or, if a non-parametric approach is chosen, Cox's model. This is inherently tied to the assumption of proportio…
A nonparametric relative treatment effect for direct comparisons of censored paired survival outcomes
Dennis Dobler, Kathrin Möllenhoff
A very classical problem in statistics is to test the stochastic superiority of one distribution to another. However, many existing approaches are developed for independent samples…
Similarity of competing risks models with constant intensities in an application to clinical healthcare pathways involving prostate cancer surgery
Nadine Binder, Kathrin Möllenhoff, August Sigle +1
The recent availability of routine medical data, especially in a university-clinical context, may enable the discovery of typical healthcare pathways, i.e., typical temporal sequen…
Efficient model-based Bioequivalence Testing
Kathrin Möllenhoff, Florence Loingeville, Julie Bertrand +8
The classical approach to analyze pharmacokinetic (PK) data in bioequivalence studies aiming to compare two different formulations is to perform noncompartmental analysis (NCA) fol…
Equivalence of regression curves sharing common parameters
Kathrin Möllenhoff, Frank Bretz, Holger Dette
In clinical trials the comparison of two different populations is a frequently addressed problem. Non-linear (parametric) regression models are commonly used to describe the relati…
Assessing the similarity of dose response and target doses in two non-overlapping subgroups
Frank Bretz, Kathrin Möllenhoff, Holger Dette +2
We consider two problems that are attracting increasing attention in clinical dose finding studies. First, we assess the similarity of two non-linear regression models for two non-…