Common pitfalls in statistical analysis: Measures of agreement
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2017-01-01
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| Series: | Perspectives in Clinical Research |
| Subjects: | |
| Online Access: | http://www.picronline.org/article.asp?issn=2229-3485;year=2017;volume=8;issue=4;spage=187;epage=191;aulast=Ranganathan |
| Summary: | 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. |
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| ISSN: | 2229-3485 |