Abstract
Bland-Altman (B–A) analysis has largely replaced the correlation coefficient as the predominant tool for evaluating the interchangeability of two methods of clinical measurement. However, we contend that B–A analysis might lead to erroneous conclusions when the data range is small. We provide an example to illustrate this and explore a possible analysis technique to address this limitation.
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Preiss D, Fisher J. A measure of confidence in Bland-Altman analysis for the interchangeability of two methods of measurement.
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Preiss, D., Fisher, J. A Measure of Confidence in Bland–Altman Analysis for the Interchangeability of Two Methods of Measurement. J Clin Monit Comput 22, 257–259 (2008). https://doi.org/10.1007/s10877-008-9127-y
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DOI: https://doi.org/10.1007/s10877-008-9127-y