Multiple imputation of missing values: Further update of ice, with an emphasis on categorical variables
Patrick Royston ()
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Patrick Royston: MRC Clinical Trials Unit and University College London
Stata Journal, 2009, vol. 9, issue 3, 466-477
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 con- ditional 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.
Keywords: multiple imputation; chained equations; categorical variables; negative binomial distribution; ice; uvis; mi (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (34)
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Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:9:y:2009:i:3:p:466-477
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