Open AccessCommon pitfalls in statistical analysis: Measures of agreement
Author(s) -
Priya Ranganathan,
C S Pramesh,
Rakesh Aggarwal
Publication year - 2017
Publication title -
perspectives in clinical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.649
H-Index - 8
eISSN - 2229-5488
pISSN - 2229-3485
DOI - 10.4103/picr.picr_123_17
Subject(s) - concordance , statistics , agreement , statistical analysis , correlation , statistical hypothesis testing , econometrics , variable (mathematics) , mathematics , computer science , data mining , medicine , linguistics , philosophy , geometry , mathematical analysis
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.