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Multireader, multicase receiver operating characteristic methodology: a bootstrap analysis.

D D Dofrman·K S Berbaum·R V Lenth
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Abstract

RATIONALE AND OBJECTIVES: We evaluated by bootstrapping the conclusions obtained by the Dorfman-Berbaum-Metz (DBM) receiver operating characteristic (ROC) method and by the Toledano-Gatsonis (TG) method on a well-known data set. METHODS: We bootstrapped in two ways, resampled cases while holding readers fixed and resampled both cases and readers. RESULTS: When an analysis of variance of pseudovalues implies that reader variance and all random interactions with treatment are essentially zero, then case-resampling bootstrap and the DBM and TG methods should give the same results. Case-resampling bootstrap and the DBM and TG methods did give highly similar results for both individual readers and the averages over all readers. Both the case-resampling bootstrap and the reader-case resampling bootstrap gave smaller standard errors for group than for individual reader means, thereby providing evidence for a trade-off of readers and cases with regard to precision and power in this data set. CONCLUSION: Case-resampling bootstrap provides some justification for the DBM and TG methods.

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Analysis of VarianceConfidence IntervalsHumansInfant, NewbornLikelihood FunctionsModels, StatisticalPsychophysicsROC CurveRadiographyReproducibility of ResultsComparative StudyJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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D D Dofrman, K S Berbaum, R V Lenth. 1995. Multireader, multicase receiver operating characteristic methodology: a bootstrap analysis.. https://doi.org/10.1016/s1076-6332(05)80129-1

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