Variable selection by Random Forests using data with missing values
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References listed on IDEAS
- van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
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- repec:eee:jotrge:v:78:y:2019:i:c:p:70-86 is not listed on IDEAS
- Lee, Min Cherng & Mitra, Robin, 2016. "Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 24-38.
More about this item
KeywordsRandom Forests; Variable importance; Variable selection; Missing data; Multiple imputation; Complete case analysis;
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