English, Article edition: Inference for the Cost-Effectiveness Acceptability Curve and Cost-Effectiveness Ratio Anthony O'Hagan; John W. Stevens; Jacques Montmartin

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Physical Description
  • article
Language
  • English

Edition details

Title
  • Inference for the Cost-Effectiveness Acceptability Curve and Cost-Effectiveness Ratio
Author
  • Anthony O'Hagan
  • John W. Stevens
  • Jacques Montmartin
Physical Description
  • article
Notes
  • The aim of this article is to consider Bayesian and frequentist inference methods for measures of incremental cost effectiveness in data obtained via a clinical trial. The most useful measure is the cost-effectiveness (C/​E) acceptability curve. Recent publications on Bayesian estimation have assumed a normal posterior distribution, which ignores uncertainty in estimated variances, and suggest unnecessarily complicated methods of computation. We present a simple Bayesian computation for the C/​E acceptability curve and a simple frequentist analogue. Our approach takes account of errors in estimated variances, resulting in calculations that are based on distributions rather than normal distributions. If inference is required about the C/​E ratio, we argue that the standard frequentist procedures give unreliable or misleading inferences, and present instead a Bayesian interval.
  • Cost effectiveness, Pharmacoeconomics
  • RePEc:wkh:phecon:v:17:y:2000:i:4:p:339-349
Language
  • English
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