Multiple imputation of missing values: Further update of ice, with an emphasis on categorical variables Report as inadecuate




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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.

Keywords: multiple imputation ; chained equations ; categorical variables ; negative binomial distribution ; ice ; uvis ; mi

Subject(s): Research Methods/ Statistical Methods

Issue Date: 2009

Publication Type: Journal Article

DOI and Other Identifiers: st0067_4 (Other)

PURL Identifier: http://purl.umn.edu/143003 Published in: Stata Journal, Volume 09, Number 3 Page range: 466-477

Total Pages: 12

Record appears in: Stata Journal





Author: Royston, Patrick

Source: http://ageconsearch.umn.edu/record/143003?ln=en



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