Graphic representation of sequential Bayesian analysis

I. Heller, M. Topilsky, I. Shapira, Aharon Isakov*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)182-186
Number of pages5
JournalMethods of Information in Medicine
Issue number3
StatePublished - 1999


  • Bayes' Theorem
  • Decision Support
  • Diagnosis
  • Predictive Value of Tests
  • ROC Space


Dive into the research topics of 'Graphic representation of sequential Bayesian analysis'. Together they form a unique fingerprint.

Cite this