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Chained equations and more in multiple imputation in Stata 12

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  • Yulia Marchenko

    (StataCorp)

Abstract

This session focuses on the new Stata 12 command, mi impute chained, to perform multivariate imputation using chained equations (ICE), also known as sequential regression imputation. ICE is a flexible imputation technique for imputing various types of data. The variable-by-variable specification of ICE allows the user to impute variables of different types by choosing the appropriate method for each variable from several univariate imputation methods. Variables can have an arbitrary missingdata pattern. By specifying a separate model for each variable, users are able to incorporate a number of important characteristics, such as ranges and restrictions within a subset, specific to each variable. Other new features in multiple imputation in Stata 12 will also be discussed.

Suggested Citation

  • Yulia Marchenko, 2011. "Chained equations and more in multiple imputation in Stata 12," Italian Stata Users' Group Meetings 2011 06, Stata Users Group.
  • Handle: RePEc:boc:isug11:06
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    File URL: http://www.stata.com/meeting/italy11/abstracts/italy11_marchenko.pdf
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    Cited by:

    1. Hélène Colineaux & Fanny Le Querrec & Laure Pourcel & Jean-Christophe Gallart & Olivier Azéma & Thierry Lang & Michelle Kelly-Irving & Sandrine Charpentier & Sébastien Lamy, 2018. "Is the use of emergency departments socially patterned?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(3), pages 397-407, April.

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