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Primer on Medical Decision Analysis: Part 2—Building a Tree

Author

Listed:
  • Allan S. Detsky

    (Address correspondence and reprint requests to Dr. Detsky: EN G-246, General Division, The Toronto Hospital, 200 Elizabeth Street, Toronto, ON M5G 2C4, Canada . e-mail: (detsky@utstat toronto edu)

  • Gary Naglie
  • Murray D. Krahn
  • Donald A. Redelmeier
  • David Naimark

Abstract

This part of a five-part series covering practical issues in the performance of decision analysis outlines the basic strategies for building decision trees. The authors offer six recommendations for building and programming decision trees. Following these six recommendations will facilitate performance of the sensitivity analyses required to achieve two goals. The first is to find modeling or programming errors, a process known as "debugging" the tree. The second is to determine the robustness of the qualitative conclusions drawn from the analysis. Key words: decision analysis; expected value; utility; sensitivity analysis; decision trees; probability. (Med Decis Making 1997;17: 126-135)

Suggested Citation

  • Allan S. Detsky & Gary Naglie & Murray D. Krahn & Donald A. Redelmeier & David Naimark, 1997. "Primer on Medical Decision Analysis: Part 2—Building a Tree," Medical Decision Making, , vol. 17(2), pages 126-135, April.
    • Handle: RePEc:sae:medema:v:17:y:1997:i:2:p:126-135
    DOI: 10.1177/0272989X9701700202
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    References listed on IDEAS

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    1. Murray D. Krahn & Gary Naglie & David Naimark & Donald A. Redelmeier & Allan S. Detsky, 1997. "Primer on Medical Decision Analysis: Part 4-Analyzing the Model and Interpreting the Results," Medical Decision Making, , vol. 17(2), pages 142-151, April.
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    Cited by:

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