Threshold Analysis of Decision Tables

Paul Glasziou and Jörgen Hilden

Medical Decision Making, 1986, vol. 6, issue 3, 161-168

Abstract: 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.

Keywords: Key words: decision tree; clinical decision analysis; diagnosis; diagnostic tests. (Med Decis Making 6:161-168; 1986) (search for similar items in EconPapers)
Date: 1986
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:6:y:1986:i:3:p:161-168

DOI: 10.1177/0272989X8600600306

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