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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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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4051964/ https://ncbi.nlm.nih.gov/pubmed/24903709 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-14-75 |
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