IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

A Bayesian Net Benefit Approach to Cost-effectiveness Analysis in Health Technology Assessment

Listed author(s):
  • Elias Moreno
  • Francisco Javier Giron
  • Francisco Jose Vazquez-Polo
  • Miguel Negrin
Registered author(s):

    The economic literature on cost-effectiveness analysis in the context of decisions by health technology assessment agencies assumes as the quantity of interest a linear combination of the mean of the sampling distribution of the effectiveness and the cost. We argue that this is not always reasonable. Our reasons for this assertion are that (i) treatments are compared on the basis of mean values, and for some useful models the mean of the distribution of the cost, which is conditional on the available data, does not exist, and (ii) even for models for which the mean does exist, it might not constitute an accurate reflection of the distribution. This paper presents a general Bayesian cost-effectiveness analysis of a single treatment, where the quantity of interest is the distribution, conditional on the data, of the net benefit. This approach permits a natural extension to several treatments, which enables us to make a statistical comparison. Illustrations with treatment comparisons for real and simulated data are given.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Taylor & Francis Journals in its journal International Journal of the Economics of Business.

    Volume (Year): 16 (2009)
    Issue (Month): 3 ()
    Pages: 323-345

    in new window

    Handle: RePEc:taf:ijecbs:v:16:y:2009:i:3:p:323-345
    DOI: 10.1080/13571510903227056
    Contact details of provider: Web page:

    Order Information: Web:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:taf:ijecbs:v:16:y:2009:i:3:p:323-345. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.