title: Graphic representation of sequential Bayesian analysis.
abstract: 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.
authors.affiliation: Department of Internal Medicine H, Tel-Aviv Medical Center, Israel.
authors.forename: I
authors.initials: I
authors.lastname: Heller
authors.forename: M
authors.initials: M
authors.lastname: Topilsky
authors.forename: I
authors.initials: I
authors.lastname: Shapira
authors.forename: A
authors.initials: A
authors.lastname: Isakov
mesh_terms: D001499:Bayes Theorem; D003196:Computer Graphics; D003661:Decision Support Techniques; D006801:Humans; D011237:Predictive Value of Tests; D012372:ROC Curve