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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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Bibliografiske detaljer
Udgivet i:Bioinformatics
Main Authors: Laajala, Teemu D, Murtojärvi, Mika, Virkki, Arho, Aittokallio, Tero
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6223370/
https://ncbi.nlm.nih.gov/pubmed/29912284
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty477
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