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Medical Decision Making
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Threshold Analysis of Decision Tables

Paul Glasziou, PhD

Jörgen Hilden, MD

When a decision table is used to find a maximum expected utility testing strategy, it is based on a given prior probability distribution of diseases. In the two-disease situation, a threshold analysis over all prior probabilities can be done using threshold transformations of the points of indifference between treatments. This results in a set of prior probability intervals each with its own unique decision rule. The Boolean expression for the table indicates the ac ceptable testing strategies. A decision table analysis may then be extended to include invasive or costly investigations. The technique represents a saving in time and effort com pared with standard decision tree approaches, especially where investigative recommen dations are to be made for a broad range of prior probabilities, e.g., where initial symptoms and signs are considered before the investigations.

Key Words: Key words: decision tree • clinical decision analysis • diagnosis • diagnostic tests. (Med Decis Making 6:161-168 • 1986)

Medical Decision Making, Vol. 6, No. 3, 161-168 (1986)
DOI: 10.1177/0272989X8600600306
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