J Neuropsychiatry Clin Neurosci 1992; 4:214-219
Copyright © 1992 by American Neuropsychiatric Association

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Comparing diagnostic tests using information theory: the INFO-ROC technique

E Somoza and D Mossman
Psychiatry Service, Department of Veterans Affairs Medical Center, Cincinnati, OH 45220.

We continue our examination of diagnostic tests that are used to assign individuals to one of two mutually exclusive categories, those having or not having a particular disorder. Our last article showed how the information yielded by a test depends on the choice of cutoff and on the patient's pre-test probability of having the disorder. In this article, we demonstrate a method of optimizing a test's information yield that allows us to determine which of several tests gives the most information. Our technique allows us to compare a test's performance with that of a perfect diagnostic test.

This article has been cited by other articles:

				E. Somoza Eccentric Diagnostic Tests: Redefining Sensitivity and Specificity Med Decis Making, February 1, 1996; 16(1): 15 - 23. [Abstract] [PDF]

				E. Somoza Classifying Binormal Diagnostic Tests Using Separation - Asymmetry Diagrams with Constant-performance Curves Med Decis Making, April 1, 1994; 14(2): 157 - 168. [Abstract] [PDF]

				E. Somoza and J. R. Somoza A Neural-network Approach to Predicting Admission Decisions in a Psychiatric Emergency Room Med Decis Making, December 1, 1993; 13(4): 273 - 280. [Abstract] [PDF]

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