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stat.ME2025
Multivariate and Multiple Contrast Testing in General Covariate-adjusted Factorial Designs
Marléne Baumeister, Konstantin Emil Thiel, Lynn Matits +3
Evaluating intervention effects on multiple outcomes is a central research goal in a wide range of quantitative sciences. It is thereby common to compare interventions among each o…
stat.ME2024
Early and Late Buzzards: Comparing Different Approaches for Quantile-based Multiple Testing in Heavy-Tailed Wildlife Research Data
Marléne Baumeister, Merle Munko, Kai-Philipp Gladow +3
In medical, ecological and psychological research, there is a need for methods to handle multiple testing, for example to consider group comparisons with more than two groups. Typi…