8 papers
Covariance Correction for Permutation Statistics in Multiple Testing Problems
Merle Munko, Paavo Sattler
In qualitative statistics, permutation tests are very popular, mainly because of their finite-sample exactness under exchangeability. However, in non-exchangeable settings, the cov…
Inference for high dimensional repeated measure designs with the R package hdrm
Paavo Sattler, Nils Hichert
Repeated-measure designs allow comparisons within a group as well as between groups, and are commonly referred to as split-plot designs. While originating in agricultural experimen…
Testing Hypotheses regarding Covariance and Correlation matrices with the R package CovCorTest
Paavo Sattler, Svenja Jedhoff
In addition to the commonly analyzed measures of location, dispersion measurements such as variance and correlation provide many valuable information. Consequently, they play a cru…
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…
Quadratic Form based Multiple Contrast Tests for Comparison of Group Means
Paavo Sattler, Markus Pauly, Merle Munko
Comparing the mean vectors across different groups is a cornerstone in the realm of multivariate statistics, with quadratic forms commonly serving as test statistics. However, when…
Testing for patterns and structures in covariance and correlation matrices
Paavo Sattler, Dennis Dobler
Covariance matrices of random vectors contain information that is crucial for modelling. Specific structures and patterns of the covariances (or correlations) may be used to justif…