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Simple moment-based inferences of generalized concordance correlation

Author

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  • John J. Chen
  • Guangxiang Zhang
  • Chen Ji
  • George F. Steinhardt

Abstract

We proposed two simple moment-based procedures, one with (GCCC1) and one without (GCCC2) normality assumptions, to generalize the inference of concordance correlation coefficient for the evaluation of agreement among multiple observers for measurements on a continuous scale. A modified Fisher's Z -transformation was adapted to further improve the inference. We compared the proposed methods with U -statistic-based inference approach. Simulation analysis showed desirable statistical properties of the simplified approach GCCC1, in terms of coverage probabilities and coverage balance, especially for small samples. GCCC2, which is distribution-free, behaved comparably with the U -statistic-based procedure, but had a more intuitive and explicit variance estimator. The utility of these approaches were illustrated using two clinical data examples.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:japsta:v:38:y:2011:i:9:p:1867-1882
    DOI: 10.1080/02664763.2010.529884
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    References listed on IDEAS

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    1. Robert H. Lyles & Jovonne K. Williams & Rutt Chuachoowong, 2001. "Correlating Two Viral Load Assays with Known Detection Limits," Biometrics, The International Biometric Society, vol. 57(4), pages 1238-1244, December.
    2. 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.
    3. Li, Runze & Chow, Mosuk, 2005. "Evaluation of reproducibility for paired functional data," Journal of Multivariate Analysis, Elsevier, vol. 93(1), pages 81-101, March.
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    Cited by:

    1. Tahani Coolen-Maturi, 2014. "A new weighted rank coefficient of concordance," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(8), pages 1721-1745, August.

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