Multiple imputation of missing values: update
Patrick Royston ()
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Patrick Royston: Cancer Division, MRC Clinical Trials Unit
Stata Journal, 2005, vol. 5, issue 2, 188-201
Abstract:
This article describes a substantial update to mvis, which brings it more closely in line with the feature set of S. van Buuren and C. G. M. Oudshoorn’s implementation of the MICE system in R and S-PLUS (for details, see http://www.multiple-imputation.com). To make a clear distinction from mvis,the principal program of the new Stata release is called ice. I will give details of how to use the new features and a practical illustrative example using real data. All the facilities of mvis are retained by ice. Some improvements to micombine for computing estimates from multiply imputed datasets are also described. Copyright 2005 by StataCorp LP.
Keywords: ice; mvis; uvis; micombine; mijoin; misplit; missing data; missing at random; multiple imputation; multivariate imputation; regression modeling (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (120)
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Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2005:i:2:p:188-201
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