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Confidence Interval Estimation of the Intraclass Correlation Coefficient for Binary Outcome Data

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  • Guangyong Zou
  • Allan Donner

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  • Guangyong Zou & Allan Donner, 2004. "Confidence Interval Estimation of the Intraclass Correlation Coefficient for Binary Outcome Data," Biometrics, The International Biometric Society, vol. 60(3), pages 807-811, September.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:3:p:807-811
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00232.x
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    References listed on IDEAS

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    1. Stuart R. Lipsitz & Nan M. Laird & Troyen A. Brennan, 1994. "Simple Moment Estimates of the κ‐Coefficient and its Variance," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(2), pages 309-323, June.
    2. Martin S. Ridout & Clarice G. B. Demétrio & David Firth, 1999. "Estimating Intraclass Correlation for Binary Data," Biometrics, The International Biometric Society, vol. 55(1), pages 137-148, March.
    3. Mekibib Altaye & Allan Dormer & Neil Klar, 2001. "Inference Procedures for Assessing Interobserver Agreement among Multiple Raters," Biometrics, The International Biometric Society, vol. 57(2), pages 584-588, June.
    4. Tak K. Mak, 1988. "Analysing Intraclass Correlation for Dichotomous Variables," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 37(3), pages 344-352, November.
    5. Stephen J. Gange & Alvaro Muñoz & Marc Sáez & Jordi Alonso, 1996. "Use of the Beta‐Binomial Distribution to Model the Effect of Policy Changes on Appropriateness of Hospital Stays," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 45(3), pages 371-382, September.
    6. Catalina Stefanescu & Bruce W. Turnbull, 2003. "Likelihood Inference for Exchangeable Binary Data with Varying Cluster Sizes," Biometrics, The International Biometric Society, vol. 59(1), pages 18-24, March.
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    Cited by:

    1. Bei Wang & Yi Zheng & Kyle M. Irimata & Jeffrey R. Wilson, 2019. "Bootstrap ICC estimators in analysis of small clustered binary data," Computational Statistics, Springer, vol. 34(4), pages 1765-1778, December.
    2. McMahon, James M. & Pouget, Enrique R. & Tortu, Stephanie, 2006. "A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXED," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3663-3680, August.
    3. Yue, Chen & Chen, Shaojie & Sair, Haris I. & Airan, Raag & Caffo, Brian S., 2015. "Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 126-133.
    4. Krishna K. Saha & Debaraj Sen & Chun Jin, 2012. "Profile likelihood-based confidence interval for the dispersion parameter in count data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(4), pages 765-783, August.
    5. Tounkara Fodé & Rivest Louis-Paul, 2014. "Some New Random Effect Models for Correlated Binary Responses," Dependence Modeling, De Gruyter, vol. 2(1), pages 1-15, December.

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