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I. Heller, M. Topilsky, I. Shapira, A. Isakov

Graphic Representation of Sequential Bayesian Analysis

Keywords: Bayes’ Theorem, Predictive Value of Tests, diagnosis, Decision Support, ROC Space

Previously undescribed algebraic transforms of Bayes' theorem define families of operating points in the receiver operating characteristic (ROC) space which, at given pre-test probability, produce constant post-test probabilities. These isopredictive operating points form straight lines in the ROC space. The lines can be used to emulate Bayesian sequential analysis in a strictly graphic procedure, which can be applied in clinical work and medical education.

Methods of Information in Medicine, Schattauer

Print ISSN: 0026-1270
Volume: 38, 09/1999
Pages: 182 - 186

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