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.
Keywords
Imputation (statistics)Computer scienceMissing dataSet (abstract data type)Data miningFeature (linguistics)Machine learningProgramming language
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Publication Info
- Year
- 2005
- Type
- article
- Volume
- 5
- Issue
- 2
- Pages
- 188-201
- Citations
- 754
- Access
- Closed
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Cite This
Patrick Royston
(2005).
Multiple Imputation of Missing Values: Update.
The Stata Journal Promoting communications on statistics and Stata
, 5
(2)
, 188-201.
https://doi.org/10.1177/1536867x0500500204
Identifiers
- DOI
- 10.1177/1536867x0500500204