3 papers
stat.OT2026
Why is Regularization Underused? An Empirical Study on Trust and Adoption of Statistical Methods
Konstantin Emil Thiel, Marléne Baumeister, Nicole Krämer +3
Statistical practice does not automatically follow methodological innovation. Regularization methods, widely advocated to reduce overfitting and stabilize inference, are readily av…
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
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…