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Related Experiment Videos

A Bayesian approach to stochastic cost-effectiveness analysis.

A H Briggs1

  • 1Health Economics Research Centre, University of Oxford, Headington, UK. andrew.briggs@ihs.ox.ac.uk

Health Economics
|May 29, 1999
PubMed
Summary
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This paper explores Bayesian methods for cost-effectiveness analysis (CEA), showing how they complement frequentist approaches. It highlights the use of cost-effectiveness acceptability curves for robust decision-making.

Area of Science:

  • Health Economics
  • Biostatistics
  • Decision Science

Background:

  • Traditional frequentist methods in cost-effectiveness analysis (CEA) have historically shown caution towards Bayesian approaches.
  • Bayesian methodology is often perceived as inherently subjective, leading to reluctance in its adoption within CEA.
  • There is a need to bridge the gap between Bayesian and frequentist methodologies for enhanced decision-making in CEA.

Purpose of the Study:

  • To outline a Bayesian approach to cost-effectiveness analysis (CEA).
  • To explore the overlap and compatibility between Bayesian and frequentist methods in CEA.
  • To emphasize empirical and uninformative prior-based Bayesian methods over subjective approaches.

Main Methods:

  • Examination of Bayesian approaches focusing on empirical and uninformative priors.

Related Experiment Videos

  • Comparison of Bayesian and frequentist interpretations in CEA, particularly concerning prior information.
  • Analysis of cost-effectiveness acceptability curves (CEACs) within a Bayesian framework.

    • Main Results:

    • A traditional frequentist approach in CEA is equivalent to a Bayesian approach with no prior information.
    • An empirical Bayes approach is equivalent to a frequentist approach that pools available data when prior information exists.
    • Cost-effectiveness acceptability curves (CEACs) are crucial for addressing decision-making problems in CEA.

    Conclusions:

    • Bayesian methods, particularly empirical Bayes, offer advantages for decision-making in CEA while maintaining frequentist robustness.
    • The interpretation of CEACs as probabilities of cost-effectiveness requires a Bayesian perspective.
    • This Bayesian interpretation of CEACs should be acceptable to those using frequentist approaches.