Frank Konietschke

Frank Konietschke, a Professor of statistics with expertise in non-parametric methods, dismantles the myth that non-parametric means just Wilcoxon tests. He explores a broad toolkit for analyzing skewed data, outliers, and small samples. Learn how ranks can quantify the relative treatment effect without relying on means, and discover effective ways to present results using confidence intervals and visuals. Frank also shares valuable software tools for implementing rank-based models, ensuring you don't miss the innovative strategies available for robust statistical analysis.