On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers

Abstract Background To assess the agreement of continuous measurements between a number of observers, Jones et al. introduced limits of agreement with the mean (LOAM) for multiple observers, representing how much an individual observer can deviate from the mean measurement of all observers. Besides...

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Main Authors: Heidi S. Christensen, Jens Borgbjerg, Lars Børty, Martin Bøgsted
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Medical Research Methodology
Subjects:
Online Access:https://doi.org/10.1186/s12874-020-01182-w
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spelling doaj-9e2278ff2068467c9b034fb01a20c3d22020-12-13T12:02:09ZengBMCBMC Medical Research Methodology1471-22882020-12-012011810.1186/s12874-020-01182-wOn Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observersHeidi S. Christensen0Jens Borgbjerg1Lars Børty2Martin Bøgsted3Department of Clinical Medicine, Aalborg UniversityDepartment of Radiology, Aarhus University HospitalDepartment of Haematology, Aalborg University HospitalDepartment of Clinical Medicine, Aalborg UniversityAbstract Background To assess the agreement of continuous measurements between a number of observers, Jones et al. introduced limits of agreement with the mean (LOAM) for multiple observers, representing how much an individual observer can deviate from the mean measurement of all observers. Besides the graphical visualisation of LOAM, suggested by Jones et al., it is desirable to supply LOAM with confidence intervals and to extend the method to the case of multiple measurements per observer. Methods We reformulate LOAM under the assumption the measurements follow an additive two-way random effects model. Assuming this model, we provide estimates and confidence intervals for the proposed LOAM. Further, this approach is easily extended to the case of multiple measurements per observer. Results The proposed method is applied on two data sets to illustrate its use. Specifically, we consider agreement between measurements regarding tumour size and aortic diameter. For the latter study, three measurement methods are considered. Conclusions The proposed LOAM and the associated confidence intervals are useful for assessing agreement between continuous measurements.https://doi.org/10.1186/s12874-020-01182-wAccuracyLimits of agreement with the meanContinuous measurementsConfidence intervals
collection DOAJ
language English
format Article
sources DOAJ
author Heidi S. Christensen
Jens Borgbjerg
Lars Børty
Martin Bøgsted
spellingShingle Heidi S. Christensen
Jens Borgbjerg
Lars Børty
Martin Bøgsted
On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
BMC Medical Research Methodology
Accuracy
Limits of agreement with the mean
Continuous measurements
Confidence intervals
author_facet Heidi S. Christensen
Jens Borgbjerg
Lars Børty
Martin Bøgsted
author_sort Heidi S. Christensen
title On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
title_short On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
title_full On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
title_fullStr On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
title_full_unstemmed On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers
title_sort on jones et al.’s method for extending bland-altman plots to limits of agreement with the mean for multiple observers
publisher BMC
series BMC Medical Research Methodology
issn 1471-2288
publishDate 2020-12-01
description Abstract Background To assess the agreement of continuous measurements between a number of observers, Jones et al. introduced limits of agreement with the mean (LOAM) for multiple observers, representing how much an individual observer can deviate from the mean measurement of all observers. Besides the graphical visualisation of LOAM, suggested by Jones et al., it is desirable to supply LOAM with confidence intervals and to extend the method to the case of multiple measurements per observer. Methods We reformulate LOAM under the assumption the measurements follow an additive two-way random effects model. Assuming this model, we provide estimates and confidence intervals for the proposed LOAM. Further, this approach is easily extended to the case of multiple measurements per observer. Results The proposed method is applied on two data sets to illustrate its use. Specifically, we consider agreement between measurements regarding tumour size and aortic diameter. For the latter study, three measurement methods are considered. Conclusions The proposed LOAM and the associated confidence intervals are useful for assessing agreement between continuous measurements.
topic Accuracy
Limits of agreement with the mean
Continuous measurements
Confidence intervals
url https://doi.org/10.1186/s12874-020-01182-w
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