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...

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Detalles Bibliográficos
Autores principales: Reps, Jenna M, Ryan, Patrick, Rijnbeek, P R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Health Informatics
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

Internet

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

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