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. 2009 Jun 29:338:b2393.
doi: 10.1136/bmj.b2393.

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

Jonathan A C Sterne  1 , Ian R White, John B Carlin, Michael Spratt, Patrick Royston, Michael G Kenward, Angela M Wood, James R Carpenter
Affiliations

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

Jonathan A C Sterne et al. BMJ. .

Abstract

Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them

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Conflict of interest statement

Competing interests: None declared.

References

    1. Wood A, White IR, Thompson SG. Are missing outcome data adequately handled? A review of published randomised controlled trials. Clin Trials 2004;1:368-76. - PubMed
    1. Royston P. Multiple imputation of missing values. Stata J 2004;4:227-41.
    1. Royston P. Multiple imputation of missing values: update of ice. Stata J 2005;5:527-36.
    1. Multiple Imputation Online. Software.www.multiple-imputation.com.
    1. SAS Institute. The MI procedure. http://support.sas.com/rnd/app/papers/miv802.pdf.

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