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• W2113078825 startingPage "031004" @default.
• W2113078825 abstract "The evaluation of medical imaging devices often involves studies that measure the ability of observers to perform a signal detection task on images obtained from those devices. Data from such studies are frequently regressed ordinally using two-sample receiver operating characteristic (ROC) models. We applied some of these models to a number of randomly chosen data sets from medical imaging and evaluated how well they fit using the Akaike and Bayesian information criteria and cross-validation. We find that for many observer data sets, a single-parameter model is sufficient and that only some studies exhibit evidence for the use of models with more than a single parameter. In particular, the single-parameter power-law model frequently well describes observer data. The power-law model has an asymmetric ROC curve and a constant mean-to-sigma ratio seen in studies analyzed with the bi-normal model. It is identical or very similar to special cases of other two-parameter models." @default.
• W2113078825 created "2016-06-24" @default.
• W2113078825 creator A5039815946 @default.
• W2113078825 creator A5050029701 @default.
• W2113078825 date "2014-08-28" @default.
• W2113078825 modified "2023-09-24" @default.
• W2113078825 title "Comparison of semiparametric receiver operating characteristic models on observer data" @default.
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• W2113078825 doi "https://doi.org/10.1117/1.jmi.1.3.031004" @default.
• W2113078825 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4479023" @default.
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