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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| 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 |