Don’t dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learning

BACKGROUND: Machine learning approaches have become increasingly popular modeling techniques, relying on data-driven heuristics to arrive at its solutions. Recent comparisons between these algorithms and traditional statistical modeling techniques have largely ignored the superiority gained by the f...

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Detalles Bibliográficos
Autores principales: Levy, Joshua J., O’Malley, A. James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325087/
https://www.ncbi.nlm.nih.gov/pubmed/32600277
http://dx.doi.org/10.1186/s12874-020-01046-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325087/
https://www.ncbi.nlm.nih.gov/pubmed/32600277
http://dx.doi.org/10.1186/s12874-020-01046-3

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