Using Bayes’ rule in diagnostic testing: a graphical explanation

Author:

Johnson Kevin M.1

Affiliation:

1. Department of Radiology and Biomedical Imaging , Yale University School of Medicine , 333 Cedar Street, New Haven, CT 06520 , USA

Abstract

Abstract In the context of diagnostic testing, concepts such as sensitivity, specificity, predictive values, likelihood ratios and more are all interconnected, but precisely how can be confusing to the nonstatistician. This paper presents a graphical explanation. Bayes’ rule, or theorem, ties several of these concepts together and should have a role in careful diagnostic thinking. It too can be understood in terms of the “two-by-two diagram” presented here.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,Public Health, Environmental and Occupational Health,Health Policy,Medicine (miscellaneous)

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