Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods

BACKGROUND: Clinical prediction models are developed widely across medical disciplines. When predictors in such models are highly collinear, unexpected or spurious predictor-outcome associations may occur, thereby potentially reducing face-validity of the prediction model. Collinearity can be dealt...

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Detalles Bibliográficos
Autores principales: Leeuwenberg, Artuur M., van Smeden, Maarten, Langendijk, Johannes A., van der Schaaf, Arjen, Mauer, Murielle E., Moons, Karel G. M., Reitsma, Johannes B., Schuit, Ewoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751246/
https://www.ncbi.nlm.nih.gov/pubmed/35016734
http://dx.doi.org/10.1186/s41512-021-00115-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751246/
https://www.ncbi.nlm.nih.gov/pubmed/35016734
http://dx.doi.org/10.1186/s41512-021-00115-5

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