Statistical Models for Assessing Agreement in Method Comparison Studies with Replicate Measurements

Carstensen Bendix, Simpson Julie and Gurrin Lyle C
Additional contact information
Carstensen Bendix: Steno Diabetes Center
Simpson Julie: University of Melbourne
Gurrin Lyle C: University of Melbourne

The International Journal of Biostatistics, 2008, vol. 4, issue 1, 28

Abstract: Method comparison studies are usually analyzed by computing limits of agreement. It is recommended that replicate measurements be taken by each method, but the resulting data are more cumbersome to analyze. We discuss the statistical model underlying the classical limits of agreement and extend it to the case with replicate measurements. As the required code to fit the models is non-trivial, we provide example computer code to fit the models, and show how to use the output to derive measures of repeatability and limits of agreement.

Keywords: method comparison; Bland-Altman plot; mixed models (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://doi.org/10.2202/1557-4679.1107 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:ijbist:v:4:y:2008:i:1:n:16

Ordering information: This journal article can be ordered from
https://www.degruyte ... journal/key/ijb/html

DOI: 10.2202/1557-4679.1107

Access Statistics for this article

The International Journal of Biostatistics is currently edited by Antoine Chambaz, Alan E. Hubbard and Mark J. van der Laan

More articles in The International Journal of Biostatistics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().