DWCox: A density-weighted Cox model for outlier-robust prediction of prostate cancer survival [version 1; referees: 1 approved, 2 approved with reservations]
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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2016-12-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/5-2806/v1 |