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Multireader, multimodality receiver operating characteristic curve studies: hypothesis testing and sample size estimation using an analysis of variance approach with dependent observations.
0 references·3 citing·10 second hop
Multireader, multimodality receiver operating characteristic curve studies: hypothesis testing and sample size estimation using an analysis of variance approach with dependent observations. (1995)Multireader, multimodality receiver opera…A comparison of denominator degrees of freedom methods for multiple observer ROC analysis (2006)A comparison of denominator d…How Many Observers Are Needed in Clinical Studies of Medical Imaging? (2004)How Many Observers Are Needed…Three methods for analysing correlated ROC curves: a comparison in real data sets from multi‐reader, multi‐case studies with a factorial design (2003)Three methods for analysing c…Maximum-likelihood estimation of parameters of signal-detection theory and determination of confidence intervals—Rating-method data (1969)Determining the effects of intraclass correlation on factorial experiments (1980)Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method. (1992)Hierarchical models for ROC curve summary measures: Design and analysis of multi‐reader, multi‐modality studies of medical tests (2007)Multi-Reader Multi-Case Studies Using the Area under the Receiver Operator Characteristic Curve as a Measure of Diagnostic Accuracy: Systematic Review with a Focus on Quality of Data Reporting (2014)Multireader multicase reader studies with binary agreement data: simulation, analysis, validation, and sizing (2014)Random-effects models in the receiver operating characteristic curve-based assessment of the effectiveness of diagnostic imaging technology: concepts, approaches, and issues. (1995)Proposals for a Phased Evaluation of Medical Tests (2009)Agreement studies in radiology research (2016)Validity and Reproducibility of Immunohistochemical Scoring by Trained Non-Pathologists on Tissue Microarrays (2021)
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  • 2006A comparison of denominator degrees of freedom methods for multiple observer ROC analysis152 cited
  • 2004How Many Observers Are Needed in Clinical Studies of Medical Imaging?86 cited
  • 2003Three methods for analysing correlated ROC curves: a comparison in real data sets from multi‐reader, multi‐case studies with a factorial design10 cited

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