Pages that link to "Item:Q5850962"
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The following pages link to A Parametric ROC Model‐Based Approach for Evaluating the Predictiveness of Continuous Markers in Case–Control Studies (Q5850962):
Displaying 11 items.
- Logistic regression analysis with standardized markers (Q386753) (← links)
- Evaluating the ROC performance of markers for future events (Q1029793) (← links)
- Informativeness of diagnostic marker values and the impact of data grouping (Q1662040) (← links)
- On the use of min-max combination of biomarkers to maximize the partial area under the ROC curve (Q1733157) (← links)
- Partial summary measures of the predictiveness curve (Q2857490) (← links)
- Two Criteria for Evaluating Risk Prediction Models (Q3100813) (← links)
- Methods for Evaluating Prediction Performance of Biomarkers and Tests (Q4984843) (← links)
- REVIEW AND LIMITATIONS OF METHODS FOR CONSTRUCTING A RECEIVER OPERATING CHARACTERISTIC CURVE IN A CASE-CONTROL DESIGN (Q5036041) (← links)
- On the use of partial area under the ROC curve for comparison of two diagnostic tests (Q5247915) (← links)
- Performance of reclassification statistics in comparing risk prediction models (Q5391156) (← links)
- Copula modeling of receiver operating characteristic and predictiveness curves (Q6629893) (← links)
