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British Journal of Anaesthesia 2007 99(3):309-311; doi:10.1093/bja/aem214
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© The Board of Management and Trustees of the British Journal of Anaesthesia 2007. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org

I. Using the Bland–Altman method to measure agreement with repeated measures

The first 150 words of the full text of this article appear below.

Medical researchers often need to compare two methods of measurement, or a new method with an established one, to determine whether these two methods can be used interchangeably or the new method can replace the established one.1–6 In most of these situations, the ‘true’ value of the measured quantity is unknown.

In a series of articles, Bland and Altman7–9 advocated the use of a graphical method to plot the difference scores of two measurements against the mean for each subject and argued that if the new method agrees sufficiently well with the old, the old may be replaced. Here the idea of agreement plays a crucial role in method comparison studies. There are numerous published clinical and laboratory studies evaluating agreement between two measurement methods using Bland–Altman analysis. The original Bland–Altman publication7 has been cited on more than 11 500 occasions—compelling evidence of its importance in medical research.

The Bland–Altman . . . [Full Text of this Article]

Random effects model for repeated measures data

P. S. Myles*

Department of Anaesthesia and Perioperative Medicine, Alfred Hospital, Commercial Road, Melbourne, Victoria 3004, Australia

J. Cui

Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia

* E-mail: p.myles@alfred.org.au


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