IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v40y1998i2p113-119.html
   My bibliography  Save this article

Comparing two tests used for diagnostic or screening purposes

Author

Listed:
  • Geisser, Seymour

Abstract

We present a Bayesian approach to the comparison of two binary diagnostic tests in a decision framework. We also show how a binary test that depends on a random variable may be optimally dichotomized with respect to the loss function.

Suggested Citation

  • Geisser, Seymour, 1998. "Comparing two tests used for diagnostic or screening purposes," Statistics & Probability Letters, Elsevier, vol. 40(2), pages 113-119, September.
    • Handle: RePEc:eee:stapro:v:40:y:1998:i:2:p:113-119
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(98)00067-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Wang, Ming-Dauh & Geisser, Seymour, 2003. "Optimal dichotomization for repeated screening tests," Statistics & Probability Letters, Elsevier, vol. 62(1), pages 61-70, March.
    2. Arno Botha & Esmerelda Oberholzer & Janette Larney & Riaan de Jongh, 2023. "Defining and comparing SICR-events for classifying impaired loans under IFRS 9," Papers 2303.03080, arXiv.org, revised Aug 2024.

    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:eee:stapro:v:40:y:1998:i:2:p:113-119. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    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.