Premium
Case study in the Bayesian analysis of a cost‐effectiveness trial in the evaluation of health care technologies: Depression
Author(s) -
Stevens John W.,
O'Hagan Anthony,
Miller Paul
Publication year - 2003
Publication title -
pharmaceutical statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 38
eISSN - 1539-1612
pISSN - 1539-1604
DOI - 10.1002/pst.43
Subject(s) - frequentist inference , bayesian probability , computer science , depression (economics) , bayesian statistics , health care , psychology , actuarial science , econometrics , statistics , machine learning , bayesian inference , artificial intelligence , economics , mathematics , macroeconomics , economic growth
We present a case study based on a depression study that will illustrate the use of Bayesian statistics in the economic evaluation of cost‐effectiveness data, demonstrate the benefits of the Bayesian approach (whilst honestly recognizing any deficiencies) with respect to frequentist methods, and provide details of using the methods, including computer code where appropriate. Copyright © 2003 John Wiley & Sons, Ltd.