IDEAS home Printed from https://ideas.repec.org/p/ohe/grafun/001679.html
   My bibliography  Save this paper

New Methods for Modelling EQ-5D-5L Value Sets: An Application to English Data

Author

Listed:
  • Yan Feng;Nancy Devlin;Koonal Shah;Brendan Mulhern;Ben van Hout

Abstract

Please note that a revised version of this paper has been accepted for publication and is forthcoming in Health Economics. There are some differences between the value set reported in the Health Economics version and the provisional value set reported in the OHE Research Paper version. Any use of the content of these materials is the sole responsibility of the user. The authors assume no responsibility for, and disclaim all liability for, any consequences resulting from the use of the information herein. This paper provides details of how the EQ-5D-5L value set was derived, focusing on the methods used to model the stated preference data. Results for different model specifications, and taking different interpretations of the data, are presented and discussed. This paper is intended to accompany OHE Research Paper 16/01: ‘Valuing Health-Related Quality of Life: An EQ-5D-5L Value Set for England’.

Suggested Citation

  • Yan Feng;Nancy Devlin;Koonal Shah;Brendan Mulhern;Ben van Hout, 2016. "New Methods for Modelling EQ-5D-5L Value Sets: An Application to English Data," Grant-Funded Research 001679, Office of Health Economics.
    • Handle: RePEc:ohe:grafun:001679
    as

    Download full text from publisher

    File URL: https://www.ohe.org/publications/new-methods-modelling-eq-5d-5l-value-sets-application-english-data/attachment-25-jan-methods-paper_5l-value-for-england_-final-2/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    New Methods for Modelling EQ-5D-5L Value Sets: An Application to English Data;

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health

    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:ohe:grafun:001679. 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: Publications Manager (email available below). General contact details of provider: https://edirc.repec.org/data/ohecouk.html .

    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.