Dear Professor and colleagues,
I want to present the 95% confidence interval (95% CIs) of sensitivity, specificity, PPV, NPV, and AUROC curve.
I know that 95% CIs of sensitivity, specificity, PPV, and NPV are computed using Binominal exact distribution, and the 95% CI of the AUROC curve is calculated using asymptotic normality. However, one of the co-investigators in our research suggested that bias-corrected with acceleration clustered bootstrap is better than Binominal exact distribution and asymptotic normality, respectively. I don’t know which approach is more precise. Please help us choose the optimum strategy.