Decoding the Bland–Altman plot: Basic review

The Bland–Altman plot is a method for comparing two measurements of the same variable. The concept is that X-axis is the mean of your two measurements, and the Y-axis is the difference between the two measurements. The chart can then highlight anomalies, for example, if one method always gives too h...

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Main Author: Aakshi Kalra
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2017-01-01
Series:Journal of the Practice of Cardiovascular Sciences
Subjects:
Online Access:http://www.j-pcs.org/article.asp?issn=2395-5414;year=2017;volume=3;issue=1;spage=36;epage=38;aulast=Kalra
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author_sort Aakshi Kalra
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description The Bland–Altman plot is a method for comparing two measurements of the same variable. The concept is that X-axis is the mean of your two measurements, and the Y-axis is the difference between the two measurements. The chart can then highlight anomalies, for example, if one method always gives too high a result, then all points are above or below the zero line. It can also reveal that one method overestimates high values and underestimates low values. If the points on the Bland–Altman plot are scattered all over the place, above and below zero, then it suggests that there is no consistent bias of one approach versus the other. It is, therefore, a good first step for two measurement techniques of a variable.
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spelling doaj.art-0e8436ba2a524dc7ab6731197381335a2022-12-22T00:55:53ZengWolters Kluwer Medknow PublicationsJournal of the Practice of Cardiovascular Sciences2395-54142454-28302017-01-0131363810.4103/jpcs.jpcs_11_17Decoding the Bland–Altman plot: Basic reviewAakshi KalraThe Bland–Altman plot is a method for comparing two measurements of the same variable. The concept is that X-axis is the mean of your two measurements, and the Y-axis is the difference between the two measurements. The chart can then highlight anomalies, for example, if one method always gives too high a result, then all points are above or below the zero line. It can also reveal that one method overestimates high values and underestimates low values. If the points on the Bland–Altman plot are scattered all over the place, above and below zero, then it suggests that there is no consistent bias of one approach versus the other. It is, therefore, a good first step for two measurement techniques of a variable.http://www.j-pcs.org/article.asp?issn=2395-5414;year=2017;volume=3;issue=1;spage=36;epage=38;aulast=KalraBland–Altman plotline of agreementtwo measurements
spellingShingle Aakshi Kalra
Decoding the Bland–Altman plot: Basic review
Journal of the Practice of Cardiovascular Sciences
Bland–Altman plot
line of agreement
two measurements
title Decoding the Bland–Altman plot: Basic review
title_full Decoding the Bland–Altman plot: Basic review
title_fullStr Decoding the Bland–Altman plot: Basic review
title_full_unstemmed Decoding the Bland–Altman plot: Basic review
title_short Decoding the Bland–Altman plot: Basic review
title_sort decoding the bland altman plot basic review
topic Bland–Altman plot
line of agreement
two measurements
url http://www.j-pcs.org/article.asp?issn=2395-5414;year=2017;volume=3;issue=1;spage=36;epage=38;aulast=Kalra
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