Measures of discrimination, reclassification, and calibration for risk prediction models: an exploration in their interrelationships and practical utility and improvement in their estimation
Public health practice and quality of medical care rely heavily on the accuracy, precision, and robustness of risk prediction models. Health care providers use risk prediction models to assess a patient’s risk of developing an event during a specified time frame given the patient’s specific charact...
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| Language: | en_US |
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2017
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| Online Access: | https://hdl.handle.net/2144/20738 |