Multiple imputation of missing values: update
Patrick Royston
Cancer Division
MRC Clinical Trials Unit
222 Euston Road
London NW1 2DA UK
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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.
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Patrick Royston
View all articles with these keywords:
ice, mvis, uvis, micombine, mijoin, misplit, missing data, missing at random, multiple imputation, multivariate imputation, regression modeling
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