IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v30y2010i4p424-425.html
   My bibliography  Save this article

Appropriate Cohorts for Cost-Effectiveness Analysis: To Mix or Not to Mix?

Author

Listed:
  • Karen M. Kuntz

    (Division of Health Policy and Management, University of Minnesota, School of Public Health, Minneapolis, Minnesota, kmkuntz@umn.edu)

  • Elisabeth Fenwick

    (Section of Public Health and Health Policy, University of Glasgow, Glasgow, UK)

  • Andrew Briggs

    (Section of Public Health and Health Policy, University of Glasgow, Glasgow, UK)

Abstract

No abstract is available for this item.

Suggested Citation

  • Karen M. Kuntz & Elisabeth Fenwick & Andrew Briggs, 2010. "Appropriate Cohorts for Cost-Effectiveness Analysis: To Mix or Not to Mix?," Medical Decision Making, , vol. 30(4), pages 424-425, July.
  • Handle: RePEc:sae:medema:v:30:y:2010:i:4:p:424-425
    DOI: 10.1177/0272989X10375038
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X10375038
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0272989X10375038?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jonathan Karnon & Alan Brennan & Ron Akehurst, 2007. "A Critique and Impact Analysis of Decision Modeling Assumptions," Medical Decision Making, , vol. 27(4), pages 491-499, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Olivier Ethgen & Baudouin Standaert, 2012. "Population–versus Cohort–Based Modelling Approaches," PharmacoEconomics, Springer, vol. 30(3), pages 171-181, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jonathan Karnon & Alan Brennan & Ron Akehurst, 2010. "Decision Modeling to Inform Decision Making: Seeing the Wood for the Trees," Medical Decision Making, , vol. 30(3), pages 20-22, May.
    2. Christopher McCabe, 2007. "Guidance on Good Practice in Cost-Effectiveness Modeling: Is More Needed?," Medical Decision Making, , vol. 27(4), pages 350-351, July.
    3. Lee Goldman & Jean-Michel Gaspoz, 2008. "Cost-Effectiveness of Clopidogrel: Seeing through the Smoke," Medical Decision Making, , vol. 28(6), pages 803-809, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:30:y:2010:i:4:p:424-425. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.