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

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  • Patrick Royston

    (MRC Clinical Trials Unit and University College London)

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.

Suggested Citation

  • Patrick Royston, 2009. "Multiple imputation of missing values: Further update of ice, with an emphasis on categorical variables," Stata Journal, StataCorp LP, vol. 9(3), pages 466-477, September.
    • Handle: RePEc:tsj:stataj:v:9:y:2009:i:3:p:466-477
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    References listed on IDEAS

    as
    1. Patrick Royston & John B. Carlin & Ian R. White, 2009. "Multiple imputation of missing values: New features for mim," Stata Journal, StataCorp LP, vol. 9(2), pages 252-264, June.
    2. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
    3. John B. Carlin & John C. Galati & Patrick Royston, 2008. "A new framework for managing and analyzing multiply imputed data in Stata," Stata Journal, StataCorp LP, vol. 8(1), pages 49-67, February.
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