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Original Articles

Regression analysis of correlated binary data: some small sample results for the estimating equation approach

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Pages 1-20 | Received 05 May 1991, Published online: 20 Mar 2007

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N.E. Breslow & D.G. Clayton. (1993) Approximate Inference in Generalized Linear Mixed Models. Journal of the American Statistical Association 88:421, pages 9-25.
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Can Meng, Mary Ryan, Paul J. Rathouz, Elizabeth L. Turner, John S. Preisser & Fan Li. (2023) ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals. Computer Methods and Programs in Biomedicine 237, pages 107567.
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Hae‐Young Kim, John M. Williamson & Cynthia M. Lyles. (2005) Sample‐size calculations for studies with correlated ordinal outcomes. Statistics in Medicine 24:19, pages 2977-2987.
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Moonseong Heo & Andrew C. Leon. (2004) Comparison of statistical methods for analysis of clustered binary observations. Statistics in Medicine 24:6, pages 911-923.
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Thomas M Braun. (2016) A mixed model formulation for designing cluster randomized trials with binary outcomes. Statistical Modelling 3:3, pages 233-249.
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Debashis Ghosh, Theresa A Deisher & Jeff L Ellsworth. (1999) Statistical methods for analyzing repeated measures. Journal of Pharmacological and Toxicological Methods 42:3, pages 157-162.
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Daniel J Sargent, Jeff A Sloan & Steven S Cha. (1999) Sample Size and Design Considerations for Phase II Clinical Trials with Correlated Observations. Controlled Clinical Trials 20:3, pages 242-252.
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Geert Verbeke & Emmanuel Lesaffre. (1997) The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data. Computational Statistics & Data Analysis 23:4, pages 541-556.
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Geert Verbeke & Emmanuel Lesaffre. 1997. Modelling Longitudinal and Spatially Correlated Data. Modelling Longitudinal and Spatially Correlated Data 89 99 .
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