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Regression analysis of correlated ordinal data using orthogonalized residuals

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  • J. Perin
  • J. S. Preisser
  • C. Phillips
  • B. Qaqish

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  • J. Perin & J. S. Preisser & C. Phillips & B. Qaqish, 2014. "Regression analysis of correlated ordinal data using orthogonalized residuals," Biometrics, The International Biometric Society, vol. 70(4), pages 902-909, December.
    • Handle: RePEc:bla:biomet:v:70:y:2014:i:4:p:902-909
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    References listed on IDEAS

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    1. Anestis Touloumis & Alan Agresti & Maria Kateri, 2013. "GEE for Multinomial Responses Using a Local Odds Ratios Parameterization," Biometrics, The International Biometric Society, vol. 69(3), pages 633-640, September.
    2. Anders Ekholm & Jukka Jokinen & John W. McDonald & Peter W. F. Smith, 2003. "Joint Regression and Association Modeling of Longitudinal Ordinal Data," Biometrics, The International Biometric Society, vol. 59(4), pages 795-803, December.
    3. Anthony Y. C. Kuk, 2007. "A Hybrid Pairwise Likelihood Method," Biometrika, Biometrika Trust, vol. 94(4), pages 939-952.
    4. Patrick J. Heagerty, 1999. "Marginally Specified Logistic-Normal Models for Longitudinal Binary Data," Biometrics, The International Biometric Society, vol. 55(3), pages 688-698, September.
    5. Beth A. Reboussin & John S. Preisser & Eun-Young Song & Mark Wolfson, 2012. "Sample size estimation for alternating logistic regressions analysis of multilevel randomized community trials of under-age drinking," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(3), pages 691-712, July.
    6. Bahjat F. Qaqish & Richard C. Zink & John S. Preisser, 2012. "Orthogonalized Residuals for Estimation of Marginally Specified Association Parameters in Multivariate Binary Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 39(3), pages 515-527, September.
    7. Anthony Y. C. Kuk, 2004. "Permutation invariance of alternating logistic regression for multivariate binary data," Biometrika, Biometrika Trust, vol. 91(3), pages 758-761, September.
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