ctl: A package for assessing agreement based on clinical tolerance limits

The ctl command implements a recently proposed statistical methodology to assess the level of agreement or interchangeability between two quantitative measurement methods. It is based on tolerance limits that are specified by the user. The methodology requires repeated measurements by at least one of the two measurement methods. It accommodates heteroskedastic measurement errors and often performs well even when the user has only one measurement by one of the two measurement methods and at least five repeated measurements from the other. It provides a more direct assessment of the agreement level than the Bland-Altman limits of agreement method and circumvents some of its deficiencies.

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Publication Details

Journal
The Stata Journal Promoting communications on statistics and Stata
Published
2025-08-26
DOI
https://doi.org/10.1177/1536867x251365501
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
2.63
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article

ctl: A package for assessing agreement based on clinical tolerance limits

Patrick Taffé
The Stata Journal Promoting communications on statistics and Stata
Statistical Methods in Clinical Trials
2.63
article

ctl: A package for assessing agreement based on clinical tolerance limits

Patrick Taffé
article en

Abstract

The ctl command implements a recently proposed statistical methodology to assess the level of agreement or interchangeability between two quantitative measurement methods. It is based on tolerance limits that are specified by the user. The methodology requires repeated measurements by at least one of the two measurement methods. It accommodates heteroskedastic measurement errors and often performs well even when the user has only one measurement by one of the two measurement methods and at least five repeated measurements from the other. It provides a more direct assessment of the agreement level than the Bland-Altman limits of agreement method and circumvents some of its deficiencies.

The Stata Journal Promoting communications on statistics and StataVol. 25(3)
Centre universitaire de médecine générale et santé publique, Lausanne (CH)
Openalex Percentile: Top 9%
Statistical Methods in Clinical Trials
2.63
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