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Estimating Intraclass Correlation for Binary Data

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  • Martin S. Ridout
  • Clarice G. B. Demétrio
  • David Firth

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  • 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.
    • Handle: RePEc:bla:biomet:v:55:y:1999:i:1:p:137-148
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.00137.x
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    Citations

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    Cited by:

    1. 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.
    2. Pan Yi & Rose Charles E. & Haber Michael & Ma Yan & Carrasco Josep L. & Stewart Brock & Keitel Wendy A. & Keyserling Harry & Jacobson Robert M. & Poland Gregory & McNeil Michael M., 2013. "Assessing Agreement of Repeated Binary Measurements with an Application to the CDC’s Anthrax Vaccine Clinical Trial," The International Journal of Biostatistics, De Gruyter, vol. 9(1), pages 1-14, July.
    3. Donald P. Green & Winston Lin & Claudia Gerber, 2018. "Optimal Allocation of Interviews to Baseline and Endline Surveys in Place-Based Randomized Trials and Quasi-Experiments," Evaluation Review, , vol. 42(4), pages 391-422, August.
    4. 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.
    5. Tsung-Shan Tsou & Wan-Chen Chen, 2013. "Estimation of intra-cluster correlation coefficient via the failure of Bartlett’s second identity," Computational Statistics, Springer, vol. 28(4), pages 1681-1698, August.
    6. 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.
    7. Zhen Pang & Anthony Y. C. Kuk, 2007. "Test of Marginal Compatibility and Smoothing Methods for Exchangeable Binary Data with Unequal Cluster Sizes," Biometrics, The International Biometric Society, vol. 63(1), pages 218-227, March.
    8. Janie McDonald & Patrick D. Gerard & Christopher S. McMahan & William R. Schucany, 2016. "Exact-Permutation-Based Sign Tests for Clustered Binary Data Via Weighted and Unweighted Test Statistics," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(4), pages 698-712, December.
    9. Sandra M. Eldridge & Obioha C. Ukoumunne & John B. Carlin, 2009. "The Intra‐Cluster Correlation Coefficient in Cluster Randomized Trials: A Review of Definitions," International Statistical Review, International Statistical Institute, vol. 77(3), pages 378-394, December.
    10. 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.
    11. Mulawa, Marta & Yamanis, Thespina J. & Hill, Lauren M. & Balvanz, Peter & Kajula, Lusajo J. & Maman, Suzanne, 2016. "Evidence of social network influence on multiple HIV risk behaviors and normative beliefs among young Tanzanian men," Social Science & Medicine, Elsevier, vol. 153(C), pages 35-43.

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