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In assessing prediction accuracy of multivariable prediction models, optimism corrections are essential for preventing biased results. However, in most published papers of clinical prediction models, the point estimates of the prediction accuracy measures are corrected by adequate bootstrap-based correction methods, but their confidence intervals are not corrected, for example, the DeLong's confidence interval is usually used for assessing the C-statistic. These naïve methods do not adjust for the optimism bias and do not account for st
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