On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance
DOI10.1080/02664763.2022.2041567OpenAlexW4213199326MaRDI QIDQ6176276
Xin-yan Zhang, Jingjing Yin, Haresh D. Rochani, Hani M. Samawi, Jing Kersey
Publication date: 25 July 2023
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://figshare.com/articles/journal_contribution/On_diagnostic_accuracy_measure_with_cut-points_criterion_for_ordinal_disease_classification_based_on_concordance_and_discordance/19208477
Alzheimer's diseasediagnostic testdiagnostic accuracyconcordance and discordancecut-point selectionk-stage diseases
Cites Work
- Unnamed Item
- ROC analysis with multiple classes and multiple tests: methodology and its application in microarray studies
- Generalization of the theory of signal detectability to \(n\)-event \(m\)-dimensional forced-choice tasks.
- Multiple-event forced-choice tasks in the theory of signal detectability
- Statistical Methods in Diagnostic Medicine
- The Youden Index and the Optimal Cut-Point Corrected for Measurement Error
This page was built for publication: On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance
