3 papers
stat.ME2026
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…
stat.ME2025
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…
stat.ME2024
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…