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Original Articles

Model diagnostics for marginal regression analysis of correlated binary data

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Pages 539-558 | Received 01 Dec 1995, Published online: 27 Jun 2007

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João Victor B. de Freitas, Juvêncio S. Nobre, Marcelo Bourguignon & Manoel Santos-Neto. (2022) A new approach to modeling positive random variables with repeated measures. Journal of Applied Statistics 49:15, pages 3784-3803.
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M. Mercedes Suárez Rancel & Miguel A. González Sierra. (2001) REGRESSION DIAGNOSTIC USING LOCAL INFLUENCE: A REVIEW. Communications in Statistics - Theory and Methods 30:5, pages 799-813.
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Ming-Hui Chen. (1998) Bayesian analysis of correlated mixed categorical data by incorporating historical prior information. Communications in Statistics - Theory and Methods 27:6, pages 1341-1361.
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Elinor M. Jones, Nuala A. Sheehan, Amadou Gaye, Philippe Laflamme & Paul Burton. (2013) Combined analysis of correlated data when data cannot be pooled. Stat 2:1, pages 72-85.
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Ming Tan, Guo-Liang Tian & Kai Wang Ng. (2006) Hierarchical models for repeated binary data using the IBF sampler. Computational Statistics & Data Analysis 50:5, pages 1272-1286.
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Peter Xue‐Kun Song & Ming Tan. (2004) Marginal Models for Longitudinal Continuous Proportional Data. Biometrics 56:2, pages 496-502.
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Ming-Hui Chen & Qi-Man Shao. (1999) Properties of Prior and Posterior Distributions for Multivariate Categorical Response Data Models. Journal of Multivariate Analysis 71:2, pages 277-296.
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Ming Tan, Yinsheng Qu & J. Sunil Rao. (2004) Robustness of the Latent Variable Model for Correlated Binary Data. Biometrics 55:1, pages 258-263.
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