IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/19244_6.html
   My bibliography  Save this book chapter

Using net benefit regression to teach cost-effectiveness analysis with a dataset

In: Handbook on Teaching Health Economics

Author

Listed:
  • Jeffrey S. Hoch
  • Carolyn S. Dewa

Abstract

This chapter describes how to analyze a cost-effectiveness dataset using Excel. We focus on students in health economics (HE) programs or health professionals without strong backgrounds in statistics. The chapter guides students to calculate two different cost-effectiveness statistics: the Incremental Cost-Effectiveness Ratio (ICER) and the Incremental Net Benefit (INB) using regression estimates. In addition to producing estimates, students learn how to characterize statistical uncertainty. This is facilitated by learning about the INB both as a difference in means as well as a net benefit regression estimate. The chapter concludes with an INB by willingness to pay plot that shows both estimates and their respective 95% confidence intervals. The chapter’s exercises can be modified by incorporating statistical languages or using more challenging datasets.

Suggested Citation

  • Jeffrey S. Hoch & Carolyn S. Dewa, 2021. "Using net benefit regression to teach cost-effectiveness analysis with a dataset," Chapters, in: Maia Platt & Allen C. Goodman (ed.), Handbook on Teaching Health Economics, chapter 6, pages 77-87, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:19244_6
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/edcoll/9781789906653/9781789906653.00017.xml
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Economics and Finance; Teaching Methods;

    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:elg:eechap:19244_6. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.com .

    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.