Predicting the time to get back to work using statistical models and machine learning approaches
Abstract Background Whether machine learning approaches are superior to classical statistical models for survival analyses, especially in the case of lack of proportionality, is unknown. Objectives To compare model performance and predictive accuracy of classic regressions and machine learning appro...
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| Main Authors: | George Bouliotis, M. Underwood, R. Froud |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-11-01
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| Series: | BMC Medical Research Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12874-024-02390-4 |
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