Threshold Analysis of Decision Tables

Paul Glasziou, Jörgen Hilden

Research output: Contribution to journalArticleResearchpeer-review

12 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)161-168
Number of pages8
JournalMedical Decision Making
Issue number3
Publication statusPublished - Aug 1986
Externally publishedYes


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