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Threshold Analysis of Decision Tables

Author

Listed:
  • Paul Glasziou
  • Jörgen Hilden

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.

Suggested Citation

  • Paul Glasziou & Jörgen Hilden, 1986. "Threshold Analysis of Decision Tables," Medical Decision Making, , vol. 6(3), pages 161-168, August.
    • Handle: RePEc:sae:medema:v:6:y:1986:i:3:p:161-168
    DOI: 10.1177/0272989X8600600306
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    References listed on IDEAS

    as
    1. Peter Doubilet, 1983. "A Mathematical Approach to Interpretation and Selection of Diagnostic Tests," Medical Decision Making, , vol. 3(2), pages 177-195, June.
    2. Paul Glasziou & Jörgen Hilden, 1986. "Decision Tables and logic in Decision Analysis," Medical Decision Making, , vol. 6(3), pages 154-160, August.
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    Cited by:

    1. Paul Glasziou & Jörgen Hilden, 1986. "Decision Tables and logic in Decision Analysis," Medical Decision Making, , vol. 6(3), pages 154-160, August.

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