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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Detalles Bibliográficos
Autores principales: Seaman, Shaun R, White, Ian R, Copas, Andrew J, Li, Leah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Inc 2012
Materias:
Biometric Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412287/
https://www.ncbi.nlm.nih.gov/pubmed/22050039
http://dx.doi.org/10.1111/j.1541-0420.2011.01666.x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412287/
https://www.ncbi.nlm.nih.gov/pubmed/22050039
http://dx.doi.org/10.1111/j.1541-0420.2011.01666.x

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