Confidence interval estimation of partial area under curve based on combined biomarkers

In diagnostic studies, we often need to combine several markers to increase the diagnostic accuracy. This paper addresses the problem of confidence interval estimation of partial area under receiver-operating characteristic (ROC) curve for the combined marker based on the optimal linear combination proposed by Su and Liu (1993). The proposed approach is developed using the concepts of generalized inference. Numerical study demonstrates that the proposed approach generally can provide reasonable confidence intervals via a few straightforward simulation steps.