Decision curve analysis is a statistical method for evaluating clinical prediction models and diagnostic tests. It assesses a model’s clinical utility by weighing the benefits of true positives against the harms of false positives across various threshold probabilities. Clinicians and researchers use it to determine if a model improves patient outcomes, aiding in practical decision-making.
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