Abstract

The estimates of ROC curves, which are frequently used in the assessment of diagnostic tests, may be biased if the sample is restricted to subjects whose disease status has been definitively verified. A method to provide an unbiased estimate of the ROC curve under these sample conditions is proposed. The new method requires information on the probability distribution of test results in the population from which the verified sample is drawn. It is illustrated using data from a study of computed tomography for fever of uncertain origin.

Keywords

Receiver operating characteristicSelection (genetic algorithm)StatisticsSample (material)Selection biasPopulationDiagnostic testDiseaseTest (biology)Computer scienceMathematicsArtificial intelligenceMedicinePathologyPediatrics

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Year
1984
Type
article
Volume
4
Issue
2
Pages
151-164
Citations
104
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Closed

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Robert Gray, Colin B. Begg, Robert A. Greenes (1984). Construction of Receiver Operating Characteristic Curves when Disease Verification Is Subject to Selection Bias. Medical Decision Making , 4 (2) , 151-164. https://doi.org/10.1177/0272989x8400400204

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DOI
10.1177/0272989x8400400204