Nonparametric methods for analysing the accuracy of diagnostic tests with multiple readers

DOI10.1191/0962280205sm392oazbMath1122.62315OpenAlexW2037547759WikidataQ52939342 ScholiaQ52939342MaRDI QIDQ5424950

Jörg Kaufmann, Edgar Brunner, Carola Werner

Publication date: 7 November 2007

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1191/0962280205sm392oa

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (6)

Sensitivity, specificity and ROC-curves in multiple reader diagnostic trials -- a unified, nonparametric approach ⋮ Testing the equality of diagnostic effectiveness of one measure with respect to k different features ⋮ Difference of two dependent sensitivities and specificities: Comparison of various approaches ⋮ Nonparametric analysis of clustered data in diagnostic trials: estimation problems in small sample sizes ⋮ Rank methods for the analysis of clustered data in diagnostic trials ⋮ Permutation-based inference for the AUC: A unified approach for continuous and discontinuous data

Cites Work

• Nonparametric methods in multivariate factorial designs
• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
• The multivariate nonparametric Behrens-Fisher problem
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• On Some Convergence Properties of UStatistics
• Hypothesis testing of diagnostic accuracy for multiple readers and multiple tests an anova approach with dependent observations
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