Abstract
Royston (2004) introduced mvis, an implementation for Stata of MICE, a method of multiple multivariate imputation of missing values under missing-at-random (MAR) assumptions. In a second article, Royston (2005) described ice, an upgrade incorporating various improvements and changes to the software based on personal experience, discussion with colleagues, and user requests. This article describes an update to ice. The changes are less substantial but nevertheless important enough to warrant a brief explanation. The major modification is that the default method of imputing missing values in ice is now by sampling from the posterior predictive distribution rather than by predicted mean matching. The ice system comprises five ado-files: ice, micombine, mijoin, misplit, and uvis. The last three programs have not been changed and are included in the present release for the sake of completeness.
Keywords
Imputation (statistics)Missing dataStatisticsComputer scienceEconometricsData miningMathematics
Affiliated Institutions
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Publication Info
- Year
- 2005
- Type
- article
- Volume
- 5
- Issue
- 4
- Pages
- 527-536
- Citations
- 1031
- Access
- Closed
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Cite This
Patrick Royston
(2005).
Multiple Imputation of Missing Values: Update of Ice.
The Stata Journal Promoting communications on statistics and Stata
, 5
(4)
, 527-536.
https://doi.org/10.1177/1536867x0500500404
Identifiers
- DOI
- 10.1177/1536867x0500500404