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      Multiple imputation using chained equations: Issues and guidance for practice

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      Statistics in Medicine
      Wiley

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          Abstract

          Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. 2010 John Wiley & Sons, Ltd.

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          Author and article information

          Journal
          SIM
          Statistics in Medicine
          Statist. Med.
          Wiley
          02776715
          February 20 2011
          February 20 2011
          November 30 2010
          : 30
          : 4
          : 377-399
          Article
          10.1002/sim.4067
          21225900
          65c3a02a-3145-4184-abc5-2fb1ee336cda
          © 2010

          http://doi.wiley.com/10.1002/tdm_license_1.1

          http://onlinelibrary.wiley.com/termsAndConditions#vor


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