Re-calibration and discrimination in survival risk prediction functions
Risk prediction models are important tools intended to help clinicians make optimal treatment decisions. They are often developed on large reference samples for applications in different local cohorts. For example, consider transporting the US Framingham risk prediction function for coronary heart d...
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| Language: | en_US |
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2016
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| Online Access: | https://hdl.handle.net/2144/14134 |