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Analysis of Diagnosability

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  • Carlos Alberto De Bragança Pereira
  • Luis Raul Pericchi

Abstract

The diagnostic probabilities of having a disease based on possible responses (indicants) to a clinical question (tests, signs or symptoms) are generally given without reference to their precision. Here, a Bayesian approach is used to provide a full analysis of the diagnostic probabilities, the weights of evidence provided by each indicant and the average weight of evidence (diagnosability) provided by the question. The method is extended to a sequence of questions in which a particular response may influence whether a subsequent question is asked. The role of imprecise diagnostic probabilities in decision making is discussed.

Suggested Citation

  • Carlos Alberto De Bragança Pereira & Luis Raul Pericchi, 1990. "Analysis of Diagnosability," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(2), pages 189-204, June.
    • Handle: RePEc:bla:jorssc:v:39:y:1990:i:2:p:189-204
    DOI: 10.2307/2347759
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