Multiple Imputation of Missing Values: Update

MRC Clinical Trials Unit at UCL

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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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758
total citations
FWCI
33.66
Percentile
100%
References
7
Citations per year

Authors

1

Topics & keywords

Keywords
  • Imputation (statistics)
  • Computer science
  • Missing data
  • Set (abstract data type)
  • Data mining
  • Feature (linguistics)
  • Machine learning
  • Programming language
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