Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.
Sterne, Jonathan AC; White, Ian R; Carlin, John B; Spratt, Michael; Royston, Patrick; Kenward, Michael G; Wood, Angela M; and Carpenter, James R
(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
(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
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description - license.txt
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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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