Multiple imputation of missing values: Further update of ice, with an emphasis on categorical variables
Patrick Royston
Hub for Trials Methodology Research
MRC Clinical Trials Unit and University College London
London, UK
[email protected]
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Abstract. Multiple imputation of missing data continues to be a topic of considerable
interest and importance to applied researchers. In this article, the ice
package for multiple imputation by chained equations (also known as fully conditional
specification) is further updated. Special attention is paid to categorical
variables. The relationship between ice and the new multiple-imputation system
in Stata 11 is clarified.
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Patrick Royston
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multiple imputation, chained equations, categorical variables, negative binomial distribution, ice, uvis, mi
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