Nonparametric Analysis of Clustered ROC Curve Data
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Publication:4349970
DOI10.2307/2533958zbMath0904.62044OpenAlexW2066063421WikidataQ36866769 ScholiaQ36866769MaRDI QIDQ4349970
Publication date: 25 January 1999
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2533958
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
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REVIEW AND LIMITATIONS OF METHODS FOR CONSTRUCTING A RECEIVER OPERATING CHARACTERISTIC CURVE IN A CASE-CONTROL DESIGN ⋮ A Regression Model for the AUC of Clustered Ordinal Test Results and Working Independent Optimal Weights ⋮ Least squares regression methods for clustered ROC data with discrete covariates ⋮ Optimal nonparametric estimator of the area under ROC curve based on clustered data ⋮ Sample size determination for comparing accuracies between two diagnostic tests under a paired design ⋮ Nonparametric analysis of clustered data in diagnostic trials: estimation problems in small sample sizes ⋮ A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests ⋮ Detection and Localization in Test Accuracy: A Bayesian Perspective ⋮ Area under the Free‐Response ROC Curve (FROC) and a Related Summary Index ⋮ Rank methods for the analysis of clustered data in diagnostic trials ⋮ Inference on win ratio for cluster-randomized semi-competing risk data
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