Regularization approaches in clinical biostatistics: A review of methods and their applications

A range of regularization approaches have been proposed in the data sciences to overcome overfitting, to exploit sparsity or to improve prediction. Using a broad definition of regularization, namely controlling model complexity by adding information in order to solve ill-posed problems or to prevent...

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Detalles Bibliográficos
Autores principales: Friedrich, Sarah, Groll, Andreas, Ickstadt, Katja, Kneib, Thomas, Pauly, Markus, Rahnenführer, Jörg, Friede, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896544/
https://www.ncbi.nlm.nih.gov/pubmed/36384320
http://dx.doi.org/10.1177/09622802221133557

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896544/
https://www.ncbi.nlm.nih.gov/pubmed/36384320
http://dx.doi.org/10.1177/09622802221133557

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