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Dynamic Influence Diagrams: Applications to Medical Decision Modeling

  • Gordon B. Hazen
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 70)

Summary

Influence diagrams are now a well established tool for modeling in decision analysis. Recently, dynamic influence diagrams have been applied to help structure stochastic processes. This chapter discusses dynamic influence diagrams for structuring continuous-time Markov chains, with particular focus on medical decision modeling. We describe our freely available Excel-based software package StoTree, in which dynamic influence diagram models may be readily formulated and solved. We present medical applications as examples, including a previously published cost-effectiveness analysis for total hip replacement.

Key words

Influence diagram Stochastic tree Dynamic Bayes net Medical decision analysis Medical cost-effectiveness Total hip arthroplasty 

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Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • Gordon B. Hazen
    • 1
  1. 1.Department of Industrial Engineering and Management SciencesNorthwestern UniversityEvanston

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