Perspectives in Clinical Research

STATISTICS
Year
: 2017  |  Volume : 8  |  Issue : 4  |  Page : 187--191

Common pitfalls in statistical analysis: Measures of agreement


Priya Ranganathan1, CS Pramesh2, Rakesh Aggarwal3 
1 Department of Anaesthesiology, Tata Memorial Centre, Mumbai, Maharashtra, India
2 Department of Surgical Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India
3 Department of Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India

Correspondence Address:
Priya Ranganathan
Department of Anaesthesiology, Tata Memorial Centre, Ernest Borges Road, Parel, Mumbai - 400 012, Maharashtra
India

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.


How to cite this article:
Ranganathan P, Pramesh C S, Aggarwal R. Common pitfalls in statistical analysis: Measures of agreement.Perspect Clin Res 2017;8:187-191


How to cite this URL:
Ranganathan P, Pramesh C S, Aggarwal R. Common pitfalls in statistical analysis: Measures of agreement. Perspect Clin Res [serial online] 2017 [cited 2023 Feb 9 ];8:187-191
Available from: http://www.picronline.org/article.asp?issn=2229-3485;year=2017;volume=8;issue=4;spage=187;epage=191;aulast=Ranganathan;type=0