A New Statistical Methodology Overcame the Defects of the Bland-Altman Method
Overview
Affiliations
Background And Objectives: The Bland and Altman's limits of agreement (LoA) method is the most commonly used statistical method to assess the bias and precision of a new measuring device (it has been cited over 40,000 times as of March 2019). What is less known is that the LoA method can be dramatically misleading.
Methods: A new statistical methodology, which circumvents these deficiencies, has recently been published and made available in the R and Stata statistical packages. We aimed at introducing and illustrating with a small data set on blood pressure (BP) measurements, taken by two different oscillometric devices, the use of this new methodology to a clinical audience.
Results: For diastolic BP, the LoA method was particularly misleading, as it identified differential and proportional biases of opposite signs compared with the new methodology. Regarding systolic BP, the LoA method strongly overestimated both the differential and proportional biases, for both devices.
Conclusion: The LoA method may be dramatically misleading and does not allow one to estimate the precision of each measurement method. We recommend the use of the newly developed statistical methodology instead.
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PMID: 39306331 PMC: 11733077. DOI: 10.1136/bmjophth-2024-001829.
Saikat D, Victor A, Aravazhi S, Priyanka D, Anitha S, Tamilselvi N Nutrients. 2024; 16(6).
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Silveira P, Edson Vieira J, Siqueira J Rev Saude Publica. 2024; 58:01.
PMID: 38381891 PMC: 10878685. DOI: 10.11606/s1518-8787.2024058005430.
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