The calibrated model-based concordance improved assessment of discriminative ability in patient clusters of limited sample size

BACKGROUND: Discriminative ability is an important aspect of prediction model performance, but challenging to assess in clustered (e.g., multicenter) data. Concordance (c)-indexes may be too extreme within small clusters. We aimed to define a new approach for the assessment of discriminative ability...

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Detalles Bibliográficos
Autores principales: van Klaveren, David, Steyerberg, Ewout W., Gönen, Mithat, Vergouwe, Yvonne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551913/
https://www.ncbi.nlm.nih.gov/pubmed/31183411
http://dx.doi.org/10.1186/s41512-019-0055-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6551913/
https://www.ncbi.nlm.nih.gov/pubmed/31183411
http://dx.doi.org/10.1186/s41512-019-0055-8

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