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
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Authors
1Topics & keywords
Topics
Keywords
- Imputation (statistics)
- Computer science
- Missing data
- Set (abstract data type)
- Data mining
- Feature (linguistics)
- Machine learning
- Programming language
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