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Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare data
OBJECTIVE: The internal validation of prediction models aims to quantify the generalisability of a model. We aim to determine the impact, if any, that the choice of development and internal validation design has on the internal performance bias and model generalisability in big data (n~500 000). DES...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BMJ Publishing Group
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710861/ https://www.ncbi.nlm.nih.gov/pubmed/34952871 http://dx.doi.org/10.1136/bmjopen-2021-050146 |