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Combining Multiple Imputation and Inverse-Probability Weighting

SUMMARY: Two approaches commonly used to deal with missing data are multiple imputation (MI) and inverse-probability weighting (IPW). IPW is also used to adjust for unequal sampling fractions. MI is generally more efficient than IPW but more complex. Whereas IPW requires only a model for the probabi...

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Détails bibliographiques
Auteurs principaux: Seaman, Shaun R, White, Ian R, Copas, Andrew J, Li, Leah
Format: Artigo
Langue:Inglês
Publié: Blackwell Publishing Inc 2012
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3412287/
https://ncbi.nlm.nih.gov/pubmed/22050039
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2011.01666.x
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