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The Stata Journal
Volume 9 Number 3: pp. 466-477

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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
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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View all articles with these keywords: multiple imputation, chained equations, categorical variables, negative binomial distribution, ice, uvis, mi

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