IDEAS home Printed from https://ideas.repec.org/p/boc/usug11/14.html
   My bibliography  Save this paper

Chained equations and more in multiple imputation in Stata 12

Author

Listed:
  • Yulia Marchenko

    (StataCorp LP)

Abstract

I present 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 you to impute variables of different types by choosing the appropriate method for each variable from several univariate imputation methods. Variables can have an arbitrary missing-data pattern. By specifying a separate model for each variable, you can incorporate certain important characteristics, such as ranges and restrictions within a subset, specific to each variable. I also describe other new features in multiple imputation in Stata 12.

Suggested Citation

  • Yulia Marchenko, 2011. "Chained equations and more in multiple imputation in Stata 12," United Kingdom Stata Users' Group Meetings 2011 14, Stata Users Group.
    • Handle: RePEc:boc:usug11:14
    as

    Download full text from publisher

    File URL: http://repec.org/usug2011/UK11_Marchenko.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:usug11:14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.