A plea for taking all available clinical information into account when assessing the predictive value of omics data

BACKGROUND: Omics data can be very informative in survival analysis and may improve the prognostic ability of classical models based on clinical risk factors for various diseases, for example breast cancer. Recent research has focused on integrating omics and clinical data, yet has often ignored the...

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Detalles Bibliográficos
Autores principales: Volkmann, Alexander, De Bin, Riccardo, Sauerbrei, Willi, Boulesteix, Anne-Laure
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657034/
https://www.ncbi.nlm.nih.gov/pubmed/31340753
http://dx.doi.org/10.1186/s12874-019-0802-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657034/
https://www.ncbi.nlm.nih.gov/pubmed/31340753
http://dx.doi.org/10.1186/s12874-019-0802-0

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