Quantifying stochastic uncertainty and presenting results of cost-effectiveness analyses

Henry A. Glick, Andrew H. Briggs, Daniel Polsky

Research output: Contribution to journalReview articlepeer-review

87 Scopus citations


In the last decade, major advances have been made in the statistical methods for quantifying uncertainty in stochastic cost-effectiveness studies. In this paper, we provide a guide to the literature in which we highlight the preferred methods for confidence interval estimation, new developments in the formulation of the cost-effectiveness problem, suggested ways for presenting results and the areas in which future research may develop. The overall approach taken is nontechnical, with an emphasis on graphical rather than algebraic presentation of methods.

Original languageEnglish (US)
Pages (from-to)25-36
Number of pages12
JournalExpert Review of Pharmacoeconomics and Outcomes Research
Issue number1
StatePublished - 2001
Externally publishedYes


  • Acceptability curves
  • Clinical trials
  • Confidence intervals
  • Cost-effectiveness analysis
  • Cost-effectiveness plane
  • Health economics
  • Net-benefits
  • Statistical methods
  • Uncertainty

ASJC Scopus subject areas

  • Health Policy
  • Pharmacology (medical)


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