The effects of misclassification in routine healthcare databases on the accuracy of prognostic prediction models: a case study of the CHA2DS2-VASc score in atrial fibrillation

BACKGROUND: Research on prognostic prediction models frequently uses data from routine healthcare. However, potential misclassification of predictors when using such data may strongly affect the studied associations. There is no doubt that such misclassification could lead to the derivation of subop...

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Detalles Bibliográficos
Autores principales: van Doorn, S., Brakenhoff, T. B., Moons, K. G. M., Rutten, F. H., Hoes, A. W., Groenwold, R. H. H., Geersing, G. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460749/
https://www.ncbi.nlm.nih.gov/pubmed/31093547
http://dx.doi.org/10.1186/s41512-017-0018-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460749/
https://www.ncbi.nlm.nih.gov/pubmed/31093547
http://dx.doi.org/10.1186/s41512-017-0018-x

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