Fig. 1
From: Prediction and clinical utility of a contralateral breast cancer risk model
Analysis of predictive performance in leave-one-study-out cross-validation. a, b The discrimination assessed by a time-dependent AUC at 5 and 10 years, respectively. c The calibration accuracy measured with calibration-in-the-large. d The calibration accuracy measured with calibration slope. The black squares indicate the estimated accuracy of a model built using all remaining studies or geographic areas. The black horizontal lines indicate the corresponding 95% confidence intervals of the estimated accuracy (interval whiskers). The black diamonds indicate the mean with the corresponding 95% confidence intervals of the predictive accuracy, and the dashed horizontal lines indicate the corresponding 95% prediction intervals