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Overall Concordance Correlation Coefficient for Evaluating Agreement Among Multiple Observers

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  • Huiman X. Barnhart
  • Michael Haber
  • Jingli Song

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  • Huiman X. Barnhart & Michael Haber & Jingli Song, 2002. "Overall Concordance Correlation Coefficient for Evaluating Agreement Among Multiple Observers," Biometrics, The International Biometric Society, vol. 58(4), pages 1020-1027, December.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:4:p:1020-1027
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.01020.x
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    References listed on IDEAS

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    1. Huiman X. Barnhart & John M. Williamson, 2001. "Modeling Concordance Correlation via GEE to Evaluate Reproducibility," Biometrics, The International Biometric Society, vol. 57(3), pages 931-940, September.
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    Cited by:

    1. John J. Chen & Guangxiang Zhang & Chen Ji & George F. Steinhardt, 2011. "Simple moment-based inferences of generalized concordance correlation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(9), pages 1867-1882, October.
    2. Dennis Mackin & Xenia Fave & Lifei Zhang & Jinzhong Yang & A Kyle Jones & Chaan S Ng & Laurence Court, 2017. "Harmonizing the pixel size in retrospective computed tomography radiomics studies," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-17, September.
    3. Helenowski Irene B & Vonesh Edward F & Demirtas Hakan & Rademaker Alfred W & Ananthanarayanan Vijayalakshmi & Gann Peter H & Jovanovic Borko D, 2011. "Defining Reproducibility Statistics as a Function of the Spatial Covariance Structures in Biomarker Studies," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-21, January.
    4. Chen, Chia-Cheng & Barnhart, Huiman X., 2008. "Comparison of ICC and CCC for assessing agreement for data without and with replications," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 554-564, December.
    5. Tsai, Miao-Yu & Lin, Chao-Chun, 2018. "Concordance correlation coefficients estimated by variance components for longitudinal normal and Poisson data," Computational Statistics & Data Analysis, Elsevier, vol. 121(C), pages 57-70.
    6. Admassu N. Lamu, 2020. "Does linear equating improve prediction in mapping? Crosswalking MacNew onto EQ-5D-5L value sets," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 903-915, August.
    7. Yan Ma & Wan Tang & Changyong Feng & Xin M. Tu, 2008. "Inference for Kappas for Longitudinal Study Data: Applications to Sexual Health Research," Biometrics, The International Biometric Society, vol. 64(3), pages 781-789, September.
    8. Gao, Jingjing & Pan, Yi & Haber, Michael, 2012. "Assessment of observer agreement for matched repeated binary measurements," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1052-1060.
    9. Candelaria de la Merced Díaz‐González & Milagros de la Rosa‐Hormiga & Josefa M. Ramal‐López & Juan José González‐Henríquez & María Sandra Marrero‐Morales, 2018. "Factors which influence concordance among measurements obtained by different pulse oximeters currently used in some clinical situations," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(3-4), pages 677-683, February.
    10. Ying Guo & Amita K. Manatunga, 2007. "Nonparametric Estimation of the Concordance Correlation Coefficient under Univariate Censoring," Biometrics, The International Biometric Society, vol. 63(1), pages 164-172, March.
    11. Tsai, Miao-Yu, 2015. "Comparison of concordance correlation coefficient via variance components, generalized estimating equations and weighted approaches with model selection," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 47-58.

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