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Missing data and multiple imputation in clinical epidemiological research

Missing data are ubiquitous in clinical epidemiological research. Individuals with missing data may differ from those with no missing data in terms of the outcome of interest and prognosis in general. Missing data are often categorized into the following three types: missing completely at random (MC...

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Bibliographic Details
Published in:Clin Epidemiol
Main Authors: Pedersen, Alma B, Mikkelsen, Ellen M, Cronin-Fenton, Deirdre, Kristensen, Nickolaj R, Pham, Tra My, Pedersen, Lars, Petersen, Irene
Format: Artigo
Language:Inglês
Published: Dove Medical Press 2017
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5358992/
https://ncbi.nlm.nih.gov/pubmed/28352203
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/CLEP.S129785
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