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Does the Missing Data Imputation Method Affect the Composition and Performance of Prognostic Models?
BACKGROUND: We already showed the superiority of imputation of missing data (via Multivariable Imputation via Chained Equations (MICE) method) over exclusion of them; however, the methodology of MICE is complicated. Furthermore, easier imputation methods are available. The aim of this study was to c...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Kowsar
2012
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3372019/ https://ncbi.nlm.nih.gov/pubmed/22737551 |
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