Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study

Multivariate imputation by chained equations (MICE) is commonly used for imputing missing data in epidemiologic research. The “true” imputation model may contain nonlinearities which are not included in default imputation models. Random forest imputation is a machine learning technique which can acc...

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Bibliographische Detailangaben
Hauptverfasser: Shah, Anoop D., Bartlett, Jonathan W., Carpenter, James, Nicholas, Owen, Hemingway, Harry
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2014
Schlagworte:
Practice of Epidemiology
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3939843/
https://ncbi.nlm.nih.gov/pubmed/24589914
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwt312
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