DWCox: A density-weighted Cox model for outlier-robust prediction of prostate cancer survival

Reliable predictions on the risk and survival time of prostate cancer patients based on their clinical records can help guide their treatment and provide hints about the disease mechanism. The Cox regression is currently a commonly accepted approach for such tasks in clinical applications. More comp...

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Detalles Bibliográficos
Autores principales: Xiao, Jinfeng, Wang, Sheng, Shang, Jingbo, Lin, Henry, Xin, Doris, Ren, Xiang, Han, Jiawei, Peng, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5321125/
https://www.ncbi.nlm.nih.gov/pubmed/28299178
http://dx.doi.org/10.12688/f1000research.9434.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5321125/
https://www.ncbi.nlm.nih.gov/pubmed/28299178
http://dx.doi.org/10.12688/f1000research.9434.1

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