Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.
Sterne, JA; White, IR; Carlin, JB; Spratt, M; Royston, P; Kenward, MG; Wood, AM; Carpenter, JR
and
(2009)
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.
BMJ, 338 (jun29).
b2393-.
ISSN 1468-5833
DOI: 10.1136/bmj.b2393
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
Item Type | Article |
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Date Deposited | 10 Jul 2012 16:29 |
Explore Further
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2714692 (OA Location)
- 10.1136/bmj.b2393 (DOI)
- 19564179 (PubMed)
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subject - Published Version
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- Available under Creative Commons: Attribution-NonCommercial-No Derivative Works 3.0
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ORCID: https://orcid.org/0000-0003-3890-6206