Primer on Certain Elements of Medical Decision Making
- 31 July 1975
- journal article
- Published by Massachusetts Medical Society in New England Journal of Medicine
- Vol. 293 (5) , 211-215
- https://doi.org/10.1056/nejm197507312930501
Abstract
The value of a diagnostic test lies in its ability to detect patients with disease (its sensitivity) and to exclude patients without disease (its specificity). For tests with binary outcomes, these measures are fixed. For tests with a continuous scale of values, various cutoff points can be selected to adjust the sensitivity and specificity of the test to conform with the physician's goals. Principles of statistical decision theory and information theory suggest technics for objectively determining these cutoff points, depending upon whether the physician is concerned with health costs, with financial costs, or with the information content of the test. (N Engl J Med 293:211–215, 1975)This publication has 3 references indexed in Scilit:
- Nomogram for Bayes's TheoremNew England Journal of Medicine, 1975
- A Probability Graph Describing the Predictive Value of a Highly Sensitive Diagnostic TestNew England Journal of Medicine, 1974
- Evaluation of Receiver Operating Characteristic Curve Data in Terms of Information Theory, with Applications in RadiographyRadiology, 1973