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Bayesian regression models for cost-effectiveness analysis

Author

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  • Francisco-José Polo

    ()

  • Miguel Negrín
  • Xavier Badía
  • Montse Roset

Abstract

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Suggested Citation

  • Francisco-José Polo & Miguel Negrín & Xavier Badía & Montse Roset, 2005. "Bayesian regression models for cost-effectiveness analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(1), pages 45-52, March.
  • Handle: RePEc:spr:eujhec:v:6:y:2005:i:1:p:45-52
    DOI: 10.1007/s10198-004-0256-z
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    References listed on IDEAS

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    1. Karl Claxton & Larry F. Lacey & Stephen G. Walker, 2000. "Selecting treatments: a decision theoretic approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(2), pages 211-225.
    2. Elisabeth Fenwick & Karl Claxton & Mark Sculpher, 2001. "Representing uncertainty: the role of cost‐effectiveness acceptability curves," Health Economics, John Wiley & Sons, Ltd., vol. 10(8), pages 779-787, December.
    3. William E. Griffiths & R. Carter Hill & Christopher J. O'Donnell, 2001. "Including Prior Information in Probit Model Estimation," Department of Economics - Working Papers Series 816, The University of Melbourne.
    4. Andrew R. Willan & Bernie J. O'Brien, 2001. "Cost prediction models for the comparison of two groups," Health Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 363-366, June.
    5. Andrew R. Willan & Andrew H. Briggs & Jeffrey S. Hoch, 2004. "Regression methods for covariate adjustment and subgroup analysis for non‐censored cost‐effectiveness data," Health Economics, John Wiley & Sons, Ltd., vol. 13(5), pages 461-475, May.
    6. E. Kathleen Adams & Vincent P. Miller & Carla Ernst & Brenda K. Nishimura & Cathy Melvin & Robert Merritt, 2002. "Neonatal health care costs related to smoking during pregnancy," Health Economics, John Wiley & Sons, Ltd., vol. 11(3), pages 193-206, April.
    7. Anthony O'Hagan & John W. Stevens, 2001. "A framework for cost‐effectiveness analysis from clinical trial data," Health Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 303-315, June.
    8. Christian Kronborg Andersen & Kjeld Andersen & Per Kragh‐Sørensen, 2000. "Cost function estimation: the choice of a model to apply to dementia," Health Economics, John Wiley & Sons, Ltd., vol. 9(5), pages 397-409, July.
    9. Andrew H. Briggs, 1999. "A Bayesian approach to stochastic cost‐effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 8(3), pages 257-261, May.
    10. Karl Claxton, 1999. "Bayesian approaches to the value of information: implications for the regulation of new pharmaceuticals," Health Economics, John Wiley & Sons, Ltd., vol. 8(3), pages 269-274, May.
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    Citations

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    Cited by:

    1. Negri­n, Miguel A. & Vázquez-Polo, Francisco-José, 2008. "Incorporating model uncertainty in cost-effectiveness analysis: A Bayesian model averaging approach," Journal of Health Economics, Elsevier, vol. 27(5), pages 1250-1259, September.
    2. Moreno, Elías & Girón, F.J. & Vázquez-Polo, F.J. & NegrI´n, M.A., 2010. "Optimal healthcare decisions: Comparing medical treatments on a cost-effectiveness basis," European Journal of Operational Research, Elsevier, vol. 204(1), pages 180-187, July.
    3. Moreno, E. & Girón, F.J. & Martínez, M.L. & Vázquez-Polo, F.J. & Negrín, M.A., 2013. "Optimal treatments in cost-effectiveness analysis in the presence of covariates: Improving patient subgroup definition," European Journal of Operational Research, Elsevier, vol. 226(1), pages 173-182.
    4. Moreno, Elías & Girón, F.J. & Vázquez-Polo, F.J. & Negrín, M.A., 2012. "Optimal healthcare decisions: The importance of the covariates in cost–effectiveness analysis," European Journal of Operational Research, Elsevier, vol. 218(2), pages 512-522.

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