Variable selection in linear mixed model meta-regression with suspected interaction effects -- How can tree-based methods help?

Detecting interaction effects (IEs) in meta-regression is challenging, especially when few studies are available and many plausible interactions are considered. In many meta-analyses, interpretability is essential, which limits the use of complex machine learning methods. Tree-based approaches offer