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Inference from Multiple Imputation for Missing Data Using Mixtures of Normals

We consider two difficulties with standard multiple imputation methods for missing data based on Rubin's t method for confidence intervals: their often excessive width, and their instability. These problems are present most often when the number of copies is small, as is often the case when a d...

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Detalhes bibliográficos
Main Authors: Steele, Russell J., Wang, Naisyin, Raftery, Adrian E.
Formato: Artigo
Idioma:Inglês
Publicado em: 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2862970/
https://ncbi.nlm.nih.gov/pubmed/20454634
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.stamet.2010.01.003
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