1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
Resampling NANCOVA: Nonparametric Analysis of Covariance in Small Samples
Konstantin Emil Thiel, Paavo Sattler, Arne C Bathke +1
Analysis of covariance is a crucial method for improving precision of statistical tests for factor effects in randomized experiments. However, existing solutions suffer from one or…
Inference for high-dimensional split-plot designs with different dimensions between groups
Paavo Sattler, Markus Pauly
In repeated Measure Designs with multiple groups, the primary purpose is to compare different groups in various aspects. For several reasons, the number of measurements and therefo…