Utilizing logistic regression to compare risk factors in disease modeling with imbalanced data: a case study in vitamin D and cancer incidence

Imbalanced data, a common challenge encountered in statistical analyses of clinical trial datasets and disease modeling, refers to the scenario where one class significantly outnumbers the other in a binary classification problem. This imbalance can lead to biased model performance, favoring the maj...

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Detalles Bibliográficos
Autores principales: Meysami, Mohammad, Kumar, Vijay, Pugh, McKayah, Lowery, Samuel Thomas, Sur, Shantanu, Mondal, Sumona, Greene, James M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569817/
https://www.ncbi.nlm.nih.gov/pubmed/37841430
http://dx.doi.org/10.3389/fonc.2023.1227842

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569817/
https://www.ncbi.nlm.nih.gov/pubmed/37841430
http://dx.doi.org/10.3389/fonc.2023.1227842

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