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Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines
BACKGROUND: Multiple imputation (MI) provides an effective approach to handle missing covariate data within prognostic modelling studies, as it can properly account for the missing data uncertainty. The multiply imputed datasets are each analysed using standard prognostic modelling techniques to obt...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2727536/ https://www.ncbi.nlm.nih.gov/pubmed/19638200 http://dx.doi.org/10.1186/1471-2288-9-57 |