MICE: Multivariate Imputation by Chained …

JSSJ ournal of Statistical SoftwareMMMMMM YYYY, Volume VV, Issue : Multivariate Imputation by ChainedEquations inRStef van Buuren1 TNO Quality of Life, Leiden2 University of UtrechtKarin Groothuis-Oudshoorn1 Roessingh RD, Enschede2 University TwenteAbstractMultivariate Imputation by Chained equations (MICE) is the name of software forimputing incomplete Multivariate data by Fully Conditional Specification (FCS). appeared in the year 2000 as anS-PLUS library, and in 2001 as anRpackage. introduced predictor selection, passive Imputation and automatic pooling. Thisarticle presents MICE , which extends the functionality of MICE in several MICE , the analysis of imputed data is made completely general, whereas the rangeof models under which pooling works is substantially extended. MICE adds newfunctionality for imputing multilevel data, automatic predictor selection, data handling,post-processing imputed values, specialized pooling and model selection.

2 MICE: Multivariate Imputation by Chained Equations general location model. JM involves specifying a multivariate distribution for the missing

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  Equations, Multivariate, Cime, Imputation, Multivariate imputation by chained, Chained, Multivariate imputation by chained equations

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