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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.
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Robert Gray
University of Bergen
Colin B. Begg
Memorial Sloan Kettering Cancer Center
Robert A. Greenes
University of California, San Diego
Medical Decision Making
Harvard University Press
Health Solutions (Sweden)
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Gray et al. (Fri,) studied this question.
synapsesocial.com/papers/6a096848a9b588564434169c — DOI: https://doi.org/10.1177/0272989x8400400204
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