4 papers
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…
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…
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…