![]() ![]() Data can be analyzed both as unit differences plot and as percentage differences plot. The B&A plot analysis is a simple way to evaluate a bias between the mean differences, and to estimate an agreement interval, within which 95% of the differences of the second method, compared to the first one, fall. In 1983 Altman and Bland (B&A) proposed an alternative analysis, based on the quantification of the agreement between two quantitative measurements by studying the mean difference and constructing limits of agreement. ![]() However, correlation studies the relationship between one variable and another, not the differences, and it is not recommended as a method for assessing the comparability between methods. Correlation and regression studies are frequently proposed. The correct statistical approach to assess this degree of agreement is not obvious. In a contemporary clinical laboratory it is very common to have to assess the agreement between two quantitative methods of measurement.
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