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stat.AP2025
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
Nico Föge, Jakob Schwerter, Ketevan Gurtskaia +2
When data have a hierarchical structure, such as students nested within classrooms, ignoring dependencies between observations can compromise the validity of imputation procedures.…
stat.AP2024
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study
Jakob Schwerter, Andrés Romero, Florian Dumpert +1
Tree-based learning methods such as Random Forest and XGBoost are still the gold-standard prediction methods for tabular data. Feature importance measures are usually considered fo…