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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Online Access: | https://doi.org/10.1186/s12874-020-01182-w |
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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 |
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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 |
work_keys_str_mv |
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