Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Direct Use of Clinical Tolerance Limits for Assessing Agreement: A Robust Nonparametric Approach

Version 1 : Received: 15 August 2021 / Approved: 16 August 2021 / Online: 16 August 2021 (13:53:22 CEST)

How to cite: Indrayan, A. Direct Use of Clinical Tolerance Limits for Assessing Agreement: A Robust Nonparametric Approach. Preprints 2021, 2021080343. https://doi.org/10.20944/preprints202108.0343.v1 Indrayan, A. Direct Use of Clinical Tolerance Limits for Assessing Agreement: A Robust Nonparametric Approach. Preprints 2021, 2021080343. https://doi.org/10.20944/preprints202108.0343.v1

Abstract

Clinical agreement between two quantitative measurements on a group of subjects is generally assessed with the help of the Bland-Altman (B-A) limits. The interpretation regarding agreement is based on whether B-A limits are within the pre-specified clinical tolerance. Thus, clinical tolerance limits are necessary for this method. We argue in this communication that such limits of clinical tolerance can be directly used for assessing agreement and plead that this nonparametric approach is simple and robust to the distribution pattern and outliers. Such direct use of clinical tolerance limits has more flexibility, and it is more effective in assessing the extent of agreement.

Keywords

Agreement analysis; Bland-Altman method; Clinical tolerance limits; Limits of agreement; Nonparametric approach; Robust method

Subject

Medicine and Pharmacology, Clinical Medicine

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.