A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXED
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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.
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- Thomas R. Ten Have & A. Russell Localio, 1999. "Empirical Bayes Estimation of Random Effects Parameters in Mixed Effects Logistic Regression Models," Biometrics, The International Biometric Society, vol. 55(4), pages 1022-1029, December.
- John M. Neuhaus, 2002. "Analysis of Clustered and Longitudinal Binary Data Subject to Response Misclassification," Biometrics, The International Biometric Society, vol. 58(3), pages 675-683, September.
- Peter D. Hoff, 2005. "Bilinear Mixed-Effects Models for Dyadic Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 286-295, March.
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Cited by:
- 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.
- Thomas J. Cooke & Clara Mulder & Michael Thomas, 2016. "Union dissolution and migration," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(26), pages 741-760.
- Mark Roman Miller & Hanseul Jun & Fernanda Herrera & Jacob Yu Villa & Greg Welch & Jeremy N Bailenson, 2019. "Social interaction in augmented reality," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-26, May.
- Ro, Annie & Goldberg, Rachel E., 2017. "Post-migration employment changes and health: A dyadic spousal analysis," Social Science & Medicine, Elsevier, vol. 191(C), pages 202-211.
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