A Parametric ROC Model‐Based Approach for Evaluating the Predictiveness of Continuous Markers in Case–Control Studies

DOI10.1111/j.1541-0420.2009.01201.xzbMath1181.62181OpenAlexW2046666350WikidataQ41891612 ScholiaQ41891612MaRDI QIDQ5850962

Ying Huang, Margaret S. Pepe

Publication date: 21 January 2010

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/uwbiostat/paper318

zbMATH Keywords

classificationROC curverisk predictionpredictiveness curvebiomarkertotal gain

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (9)

REVIEW AND LIMITATIONS OF METHODS FOR CONSTRUCTING A RECEIVER OPERATING CHARACTERISTIC CURVE IN A CASE-CONTROL DESIGN ⋮ Informativeness of diagnostic marker values and the impact of data grouping ⋮ Logistic regression analysis with standardized markers ⋮ Performance of reclassification statistics in comparing risk prediction models ⋮ On the use of min-max combination of biomarkers to maximize the partial area under the ROC curve ⋮ Two Criteria for Evaluating Risk Prediction Models ⋮ Methods for Evaluating Prediction Performance of Biomarkers and Tests ⋮ On the use of partial area under the ROC curve for comparison of two diagnostic tests ⋮ Partial summary measures of the predictiveness curve

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