Survival analysis on rare events using group-regularized multi-response Cox regression
Motivation: The prediction performance of Cox proportional hazard model suffers when there are only few uncensored events in the training data. Results: We propose a Sparse-Group regularized Cox regression method to improve the prediction performance of large-scale and high-dimensional survival data...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2021
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| Online Access: | View Fulltext in Publisher |