Pages that link to "Item:Q3303684"
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The following pages link to Marker selection via maximizing the partial area under the ROC curve of linear risk scores (Q3303684):
Displaying 17 items.
- Assessing the diagnostic power of variables measured with a detection limit (Q333355) (← links)
- A modified area under the ROC curve and its application to marker selection and classification (Q397196) (← links)
- A PAUC-based estimation technique for disease classification and biomarker selection (Q461666) (← links)
- Binary Markov random fields and interpretable mass spectra discrimination (Q523937) (← links)
- Making classifier performance comparisons when ROC curves intersect (Q1623601) (← links)
- Rethinking an ROC partial area index for evaluating the classification performance at a high specificity range (Q1630883) (← 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)
- A new way for ranking functional data with applications in diagnostic test (Q1995825) (← links)
- The linear combinations of biomarkers which maximize the partial area under the ROC curves (Q2255847) (← links)
- Prediction-Based Structured Variable Selection through the Receiver Operating Characteristic Curves (Q3100791) (← links)
- Confidence interval estimation of the Youden index and corresponding cut-point for a combination of biomarkers under normality (Q5079252) (← links)
- Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve (Q5380824) (← links)
- Construction of joint confidence spaces for the optimal true class fraction triplet in the ROC space using alternative biomarker cutoffs (Q6068639) (← links)
- Combining biomarkers by maximizing the true positive rate for a fixed false positive rate (Q6091667) (← links)
- Statistical inference for the partial area under ROC curve for the lower truncated proportional hazard rate models based on progressive Type-II censoring (Q6564313) (← links)
- Conditional concordance-assisted learning under matched case-control design for combining biomarkers for population screening (Q6617495) (← links)