Pages that link to "Item:Q2255847"
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The following pages link to The linear combinations of biomarkers which maximize the partial area under the ROC curves (Q2255847):
Displaying 15 items.
- A PAUC-based estimation technique for disease classification and biomarker selection (Q461666) (← links)
- Confidence interval estimation of partial area under curve based on combined biomarkers (Q962276) (← links)
- Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve (Q1663274) (← links)
- On the use of min-max combination of biomarkers to maximize the partial area under the ROC curve (Q1733157) (← links)
- Partial AUC maximization in a linear combination of dichotomizers (Q2276010) (← links)
- ROC curve inference for best linear combination of two biomarkers subject to limits of detection (Q3003009) (← links)
- Optimal Combinations of Diagnostic Tests Based on AUC (Q3013986) (← links)
- Marker selection via maximizing the partial area under the ROC curve of linear risk scores (Q3303684) (← links)
- Identifying optimal biomarker combinations for treatment selection via a robust kernel method (Q3465367) (← links)
- Combining diagnostic test results to increase accuracy (Q4512444) (← links)
- Detecting diagnostic accuracy of two biomarkers through a bivariate log-normal ROC curve (Q5130379) (← links)
- (Q5419906) (← links)
- Combining binary and continuous biomarkers by maximizing the area under the receiver operating characteristic curve (Q5867473) (← links)
- Combining biomarkers by maximizing the true positive rate for a fixed false positive rate (Q6091667) (← links)
- Conditional concordance-assisted learning under matched case-control design for combining biomarkers for population screening (Q6617495) (← links)
