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The Use of Efficiency Linear Programs for Sensitivity Analysis in Medical Decision Making

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  • Celik Parkan
  • Laurance Hollands

Abstract

Sensitivity analysis in most medical problems is a complex process involving repeated cal culations that can be computationally cumbersome, and its results are only approximate. The authors present a linear program-based approach that reveals the optimum strategies in a decision problem when event probabilities are not known exactly but their value ranges are available. Its application in a clinical decision-making situation is demonstrated. The approach promises to provide a flexible, precise, and computationally efficient technique for sensitivity analysis in medical decision making. Key words: efficiency linear programs; de cision making; sensitivity analysis. (Med Decis Making 1990;10:116-125)

Suggested Citation

  • Celik Parkan & Laurance Hollands, 1990. "The Use of Efficiency Linear Programs for Sensitivity Analysis in Medical Decision Making," Medical Decision Making, , vol. 10(2), pages 116-125, June.
    • Handle: RePEc:sae:medema:v:10:y:1990:i:2:p:116-125
    DOI: 10.1177/0272989X9001000206
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    References listed on IDEAS

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    1. Peter Doubilet & Colin B. Begg & Milton C. Weinstein & Peter Braun & Barbara J. McNeil, 1985. "Probabilistic Sensitivity Analysis Using Monte Carlo Simulation," Medical Decision Making, , vol. 5(2), pages 157-177, June.
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