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Cited by 754

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Multiple Imputation of Missing Values: Update

Open access
Royston, Patrick·2005·The Stata Journal: Promoting communications on statistics and Stata

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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Metadata

Authors
Royston, P.
Venue
The Stata Journal: Promoting communications on statistics and Stata
Published
2005-06
Volume
5
Issue
2
Pages
188-201
ISSN
  • 1536-867X (ISSN-L)
  • 1536-8734
OpenAlex
W2146515085
Cited by
754
References
3
FWCI
30.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Multiple Imputation of Missing Values: Update. https://app.cochat.ai/papers/10.1177/1536867x0500500204
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Royston, P. (2005). Multiple Imputation of Missing Values: Update. The Stata Journal: Promoting communications on statistics and Stata. https://doi.org/10.1177/1536867x0500500204

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.