%0 Journal Article
%T Common pitfalls in statistical analysis: Measures of agreement
%A C. S. Pramesh
%A Priya Ranganathan
%A Rakesh Aggarwal
%J Archive of "Perspectives in Clinical Research".
%D 2017
%R 10.4103/picr.PICR_123_17
%X Agreement between measurements refers to the degree of concordance between two (or more) sets of measurements. Statistical methods to test agreement are used to assess inter-rater variability or to decide whether one technique for measuring a variable can substitute another. In this article, we look at statistical measures of agreement for different types of data and discuss the differences between these and those for assessing correlation
%K Agreement
%K biostatistics
%K concordance
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654219/