ePCR: an R-package for survival and time-to-event prediction in advanced prostate cancer, applied to real-world patient cohorts

MOTIVATION: Prognostic models are widely used in clinical decision-making, such as risk stratification and tailoring treatment strategies, with the aim to improve patient outcomes while reducing overall healthcare costs. While prognostic models have been adopted into clinical use, benchmarking their...

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Detalles Bibliográficos
Autores principales: Laajala, Teemu D, Murtojärvi, Mika, Virkki, Arho, Aittokallio, Tero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223370/
https://www.ncbi.nlm.nih.gov/pubmed/29912284
http://dx.doi.org/10.1093/bioinformatics/bty477

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223370/
https://www.ncbi.nlm.nih.gov/pubmed/29912284
http://dx.doi.org/10.1093/bioinformatics/bty477

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