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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.OT2026
Variable selection in linear mixed model meta-regression with suspected interaction effects -- How can tree-based methods help?
Jan-Bernd Igelmann, Paula Lorenz, Markus Pauly
Detecting interaction effects (IEs) in meta-regression is challenging, especially when few studies are available and many plausible interactions are considered. In many meta-analys…