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Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation
BACKGROUND: Missing values are a frequent issue in human studies. In many situations, multiple imputation (MI) is an appropriate missing data handling strategy, whereby missing values are imputed multiple times, the analysis is performed in every imputed data set, and the obtained estimates are pool...
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| Publié dans: | BMC Med Res Methodol |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5080703/ https://ncbi.nlm.nih.gov/pubmed/27782817 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-016-0239-7 |
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