Tuning multiple imputation by predictive mean matching and local residual draws

BACKGROUND: Multiple imputation is a commonly used method for handling incomplete covariates as it can provide valid inference when data are missing at random. This depends on being able to correctly specify the parametric model used to impute missing values, which may be difficult in many realistic...

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Detalles Bibliográficos
Autores principales: Morris, Tim P, White, Ian R, Royston, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4051964/
https://www.ncbi.nlm.nih.gov/pubmed/24903709
http://dx.doi.org/10.1186/1471-2288-14-75

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4051964/
https://www.ncbi.nlm.nih.gov/pubmed/24903709
http://dx.doi.org/10.1186/1471-2288-14-75

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