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Imputation and missing indicators for handling missing data in the development and deployment of clinical prediction models: A simulation study
Background: In clinical prediction modelling, missing data can occur at any stage of the model pipeline; development, validation or deployment. Multiple imputation is often recommended yet challenging to apply at deployment; for example, the outcome cannot be in the imputation model, as recommended...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515473/ https://www.ncbi.nlm.nih.gov/pubmed/37105540 http://dx.doi.org/10.1177/09622802231165001 |