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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.ME2024
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…
stat.ME2023★ 1 cited
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…