Stochastic-tree models in medical decision making

Gordon B. Hazen*, James M. Pellissier, Jayavel Sounderpandian

*Corresponding author for this work

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

The stochastic tree is a recently introduced generalization of the decision tree which allows the explicit depiction of temporal uncertainty while still employing the familiar rollback procedure for decision trees. We offer an introduction to stochastic-tree modeling and techniques involved in their application to medical-treatment decisions. We also describe an application of these tools to the analysis of the decision to undergo a total hip replacement from the perspectives of an individual patient (via utility analysis) and of society (via cost-effectiveness analysis).

Original languageEnglish (US)
Pages (from-to)64-80
Number of pages17
JournalInterfaces
Volume28
Issue number4
DOIs
StatePublished - Jan 1 1998

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Management of Technology and Innovation

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