English, Article, Journal or magazine article edition: An Algorithm for Creating Models for Imputation Using the MICE Approach: An Application in Stata Rose Medeiros

User activity

Share to:
 
Bookmark: http://trove.nla.gov.au/version/176093
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • An Algorithm for Creating Models for Imputation Using the MICE Approach: An Application in Stata
Author
  • Rose Medeiros
Physical Description
  • preprint
Notes
  • It is generally advised that imputation models contain as many “predictor” variables as possible, since the greater the number of variables the greater the amount of information from which to make estimations (van Buuren, Boshuizen &​ Knook 1999). Ideally, an imputation model might contain all variables in the dataset. Hence, the default in software packages that perform multivariate imputation by chained equations (e.g. ice in Stata) is often to use all other variables in the imputation model to predict missing values. However, in datasets with moderate to large numbers of variables, attempting to use all other variables in the dataset results in imputation models that are too large to actually run. One solution to this problem is to select a relatively large, but reasonable, number of predictors based on bivariate correlations and then drop predictors as necessary to create a regression model that is tractable using the complete data. This set of regression models form the imputation model for the entire dataset. This presentation outlines this approach in more detail and presents an overview of the Stata package that implements it.
  • RePEc:boc:wsug07:6
Language
  • English
Contributed by
OAIster

Get this edition

Other links

  • Set up My libraries

    How do I set up "My libraries"?

    In order to set up a list of libraries that you have access to, you must first login or sign up. Then set up a personal list of libraries from your profile page by clicking on your user name at the top right of any screen.

  • All (1)
  • Unknown (1)
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.

User activity


e.g. test cricket, Perth (WA), "Parkes, Henry"

Separate different tags with a comma. To include a comma in your tag, surround the tag with double quotes.

Be the first to add a tag for this edition

Be the first to add this to a list

Comments and reviews

What are comments? Add a comment

No user comments or reviews for this version

Add a comment