Statistical models versus machine learning for competing risks: development and validation of prognostic models
Abstract Background In health research, several chronic diseases are susceptible to competing risks (CRs). Initially, statistical models (SM) were developed to estimate the cumulative incidence of an event in the presence of CRs. As recently there is a growing interest in applying machine learning (...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-02-01
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| Series: | BMC Medical Research Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12874-023-01866-z |