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Impact of predictor measurement heterogeneity across settings on the performance of prediction models: A measurement error perspective
It is widely acknowledged that the predictive performance of clinical prediction models should be studied in patients that were not part of the data in which the model was derived. Out‐of‐sample performance can be hampered when predictors are measured differently at derivation and external validatio...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6619392/ https://www.ncbi.nlm.nih.gov/pubmed/31148207 http://dx.doi.org/10.1002/sim.8183 |