IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v23y2023i1p97-118.html
   My bibliography  Save this article

Extended biasplot command to assess bias, precision, and agreement in method comparison studies

Author

Listed:
  • Patrick Taffé

    (University of Lausanne)

  • Mingkai Peng

    (University of Calgary)

  • Vicki Stagg

    (Calgary Statistical Support)

  • Tyler Williamson

    (University of Calgary)

Abstract

Recently, a new statistical methodology to assess the bias and precision of a new measurement method, which circumvents the deficiencies of the Bland and Altman (1986, Lancet 327: 307–310) limits of agreement method, was de- veloped by Taffé (2018, Statistical Methods in Medical Research 27: 1650–1660). Later, the methodology was extended to assess the agreement. In addition, to allow for inferences, simultaneous confidence bands around the bias, precision, and agreement lines were developed (Taffé, 2020, Statistical Methods in Medi- cal Research 29: 778–796). The goal of this article is to introduce the extended biasplot command, which implements these latest developments, and to illustrate its use by applying it to simulated data included with the command. Note that the Taffé method assumes that there are several measurements by one of the two measurement methods and possibly as few as one measurement by the other for each individual. The repeated measurements need not come from the reference standard but from any of the two measurement methods. This is a great advan- tage because it may sometimes be more feasible to gather repeated measurements either with the reference standard or the new measurement method.

Suggested Citation

  • Patrick Taffé & Mingkai Peng & Vicki Stagg & Tyler Williamson, 2023. "Extended biasplot command to assess bias, precision, and agreement in method comparison studies," Stata Journal, StataCorp LP, vol. 23(1), pages 97-118, March.
  • Handle: RePEc:tsj:stataj:v:23:y:2023:i:1:p:97-118
    DOI: 10.1177/1536867X231161978
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj23-1/gr0068_1/
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1177/1536867X231161978
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1536867X231161978?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
    ---><---

    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:tsj:stataj:v:23:y:2023:i:1:p:97-118. 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: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.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.