Multiple imputation of missing values: update

被引:412
作者
Royston, P [1 ]
机构
[1] MRC, Clin Trials Unit, Canc Div, London NW1 2DA, England
关键词
st0067_1; ice; mvis; uvis; micombine; mijoin; misplit; missing data; missing at random; multiple imputation; multivariate imputation; regression modeling;
D O I
10.1177/1536867X0500500204
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
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.
引用
收藏
页码:188 / 201
页数:14
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