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...

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Autores principales: Ranganathan, Priya, Pramesh, C. S., Aggarwal, Rakesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Statistics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654219/
https://www.ncbi.nlm.nih.gov/pubmed/29109937
http://dx.doi.org/10.4103/picr.PICR_123_17
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author Ranganathan, Priya
Pramesh, C. S.
Aggarwal, Rakesh
author_facet Ranganathan, Priya
Pramesh, C. S.
Aggarwal, Rakesh
author_sort Ranganathan, Priya
collection PubMed
description 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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spelling pubmed-56542192017-11-06 Common pitfalls in statistical analysis: Measures of agreement Ranganathan, Priya Pramesh, C. S. Aggarwal, Rakesh Perspect Clin Res Statistics 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. Medknow Publications & Media Pvt Ltd 2017 /pmc/articles/PMC5654219/ /pubmed/29109937 http://dx.doi.org/10.4103/picr.PICR_123_17 Text en Copyright: © 2017 Perspectives in Clinical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Statistics
Ranganathan, Priya
Pramesh, C. S.
Aggarwal, Rakesh
Common pitfalls in statistical analysis: Measures of agreement
title Common pitfalls in statistical analysis: Measures of agreement
title_full Common pitfalls in statistical analysis: Measures of agreement
title_fullStr Common pitfalls in statistical analysis: Measures of agreement
title_full_unstemmed Common pitfalls in statistical analysis: Measures of agreement
title_short Common pitfalls in statistical analysis: Measures of agreement
title_sort common pitfalls in statistical analysis: measures of agreement
topic Statistics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654219/
https://www.ncbi.nlm.nih.gov/pubmed/29109937
http://dx.doi.org/10.4103/picr.PICR_123_17
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