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Calibration and Clinical Utility in Prediction Models: Intercept, Slope & DCA Explained

Evaluating a prediction model requires more than assessing discrimination. Calibration and clinical usefulness determine whether a model is both statistically trustworthy  and clinically actionable . This article explores: Calibration Intercept Calibration Slope Mechanistic Interpretation (e.g., overprediction) Calibration Plot Decision Curve Analysis (DCA) 🧭 1. Calibration Intercept: Is the Average Prediction Biased? Definition:  The calibration intercept  compares the aver

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