most citedEvaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies

6 citations · 6 across the 2 of their papers we have counts for

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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…

stat.AP2024★ 6 cited

Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies

Jakob Schwerter, Ketevan Gurtskaia, Andrés Romero +2

Dealing with missing data is an important problem in statistical analysis that is often addressed with imputation procedures. The performance and validity of such methods are of gr…