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Author Notes:

Correspondence author: Dr. Michael J. Haber, Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta GA 30322, U.S.A. Tel: (404)727-7698. mhaber@sph.emory.edu

We wish to thank Dr. Tonya King for providing us the body fat data. We also thank a reviewer for helpful comments.


Research Funding:

NIH grant R01-MH070028

Grant UL1 RR024128 (for Huiman X. Barnhart)


  • coefficient of individual agreement
  • method comparisons
  • repeated measurements

Evaluation of Agreement between Measurement Methods from Data with Matched Repeated Measurements via the Coefficient of Individual Agreement


Journal Title:

Journal of Data Science


Volume 8, Number 3


, Pages 457-469

Type of Work:

Article | Post-print: After Peer Review


Summary We propose a simple method for evaluating agreement between methods of measurement when the measured variable is continuous and the data consists of matched repeated observations made with the same method under different conditions. The conditions may represent different time points, raters, laboratories, treatments, etc. Our approach allows the values of the measured variable and the magnitude of disagreement to vary across the conditions. The coefficient of individual agreement (CIA), which is based on the comparison of the between and within-methods mean squared deviation (MSD) is used to quantify the magnitude of agreement between measurement methods. The new approach is illustrated via two examples from studies designed to compare (a) methods of evaluating carotid stenosis and (b) methods of measuring percent body fat.

Copyright information:

Copyright © 2002-2010 · Journal of Data Science

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