Measuring Agreement, More Complicated Than It Seems
Author(s) -
Karlijn J. van Stralen,
Friedo W. Dekker,
Carmine Zoccali,
Kitty J. Jager
Publication year - 2012
Publication title -
nephron clinical practice
Language(s) - English
Resource type - Journals
ISSN - 1660-2110
DOI - 10.1159/000337798
Subject(s) - medicine , categorical variable , limits of agreement , measure (data warehouse) , statistics , test (biology) , agreement , correlation coefficient , medical physics , nuclear medicine , data mining , mathematics , computer science , paleontology , linguistics , philosophy , biology
In medicine, before replacing an old device by a new one, we need to know whether the results of the old and new device are similar. This is called determining the agreement between methods. In this paper, we will first discuss various ways to determine the agreement between methods to measure continuous variables, including the t test, the correlation coefficient and the Bland-Altman plot. In the second part, we will discuss methods to determine the agreement between categorical variables, like the χ(2) test and Cohen's ĸ. The latter are often used when studying the agreement between clinicians, definitions, formulas or different data sources.
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