SuperMICE: An Ensemble Machine Learning Approach to Multiple Imputation by Chained Equations

Abstract Researchers often face the problem of how to address missing data. Multiple imputation is a popular approach, with multiple imputation by chained equations (MICE) being among the most common and flexible methods for execution. MICE iteratively fits a predictive model for each variable with...

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Veröffentlicht in:	American journal of epidemiology 2022-02, Vol.191 (3), p.516-525
Hauptverfasser:	Laqueur, Hannah S, Shev, Aaron B, Kagawa, Rose M C
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bias Complex variables Computer Simulation Estimates Humans Learning algorithms Machine Learning Mathematical models Missing data Parameter estimation Prediction models
Online-Zugang:	Volltext
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