Weighted Cox regression for the prediction of heterogeneous patient subgroups

BACKGROUND: An important task in clinical medicine is the construction of risk prediction models for specific subgroups of patients based on high-dimensional molecular measurements such as gene expression data. Major objectives in modeling high-dimensional data are good prediction performance and fe...

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Detalles Bibliográficos
Autores principales: Madjar, Katrin, Rahnenführer, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650299/
https://www.ncbi.nlm.nih.gov/pubmed/34876106
http://dx.doi.org/10.1186/s12911-021-01698-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650299/
https://www.ncbi.nlm.nih.gov/pubmed/34876106
http://dx.doi.org/10.1186/s12911-021-01698-1

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