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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

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