Hypothesis testing of diagnostic accuracy for multiple readers and multiple tests an anova approach with dependent observations
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Publication:4861292
DOI10.1080/03610919508813243zbMath0850.62546OpenAlexW2045554152MaRDI QIDQ4861292
Publication date: 10 January 1996
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610919508813243
Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Analysis of variance and covariance (ANOVA) (62J10)
Related Items (8)
Power calculation for comparing diagnostic accuracies in a multi‐reader, multi‐test design ⋮ Sample size determination for comparing accuracies between two diagnostic tests under a paired design ⋮ Classifier variability: accounting for training and testing ⋮ Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies ⋮ Nonparametric methods for analysing the accuracy of diagnostic tests with multiple readers ⋮ A Framework for Random-Effects ROC Analysis: Biases with the Bootstrap and Other Variance Estimators ⋮ Exact Bootstrap Variances of the Area Under ROC Curve ⋮ Rank methods for the analysis of clustered data in diagnostic trials
Cites Work
- Statistical significance tests for binormal ROC curves
- Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
- Alternative Models for the Analysis of Variance
- Unbiased F Tests for Factorial Experiments for Correlated Data
- A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data
- Relation between the shape of population distribution and the robustness of four simple test statistics
- Concerning the Effect of Intraclass Correlation on Certain Significance Tests
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