Methods Inf Med 1999; 38(03): 182-186
DOI: 10.1055/s-0038-1634188
Original Article
Schattauer GmbH

Graphic Representation of Sequential Bayesian Analysis

I. Heller
1   Department of Internal Medicine H, Tel-Aviv Medical Center and Sackler School of Medicine, Tel Aviv University, Tel-Aviv, Israel
,
M. Topilsky
1   Department of Internal Medicine H, Tel-Aviv Medical Center and Sackler School of Medicine, Tel Aviv University, Tel-Aviv, Israel
,
I. Shapira
1   Department of Internal Medicine H, Tel-Aviv Medical Center and Sackler School of Medicine, Tel Aviv University, Tel-Aviv, Israel
,
A. Isakov
1   Department of Internal Medicine H, Tel-Aviv Medical Center and Sackler School of Medicine, Tel Aviv University, Tel-Aviv, Israel
› Author Affiliations
Further Information

Publication History

Publication Date:
08 February 2018 (online)

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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.