Quasi-linear Cox proportional hazards model with cross- L1 penalty
Abstract Background To accurately predict the response to treatment, we need a stable and effective risk score that can be calculated from patient characteristics. When we evaluate such risks from time-to-event data with right-censoring, Cox’s proportional hazards model is the most popular for estim...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-07-01
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| Series: | BMC Medical Research Methodology |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12874-020-01063-2 |