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Subject-specific odds ratios in binomial GLMMs with continuous response

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  • Mariangela Sciandra
  • Vito Muggeo
  • Gianfranco Lovison

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  • Mariangela Sciandra & Vito Muggeo & Gianfranco Lovison, 2008. "Subject-specific odds ratios in binomial GLMMs with continuous response," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(3), pages 309-320, July.
    • Handle: RePEc:spr:stmapp:v:17:y:2008:i:3:p:309-320
    DOI: 10.1007/s10260-007-0060-x
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    References listed on IDEAS

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    1. Klaus Larsen & Jørgen Holm Petersen & Esben Budtz-Jørgensen & Lars Endahl, 2000. "Interpreting Parameters in the Logistic Regression Model with Random Effects," Biometrics, The International Biometric Society, vol. 56(3), pages 909-914, September.
    2. Wendimagegn Ghidey & Emmanuel Lesaffre & Paul Eilers, 2004. "Smooth Random Effects Distribution in a Linear Mixed Model," Biometrics, The International Biometric Society, vol. 60(4), pages 945-953, December.
    3. Rebecca A. Betensky & Paige L. Williams & Howard M. Lederman, 2001. "A comparison of models for clustered binary outcomes: analysis of a designed immunology experiment," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(1), pages 43-61.
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    Cited by:

    1. Mª Ángeles Alcaide & Elena de la Poza & Mª Natividad Guadalajara, 2021. "Predicting the Reputation of Pharmaceutical Firms with Financing and Geographical Location Data," Mathematics, MDPI, vol. 9(16), pages 1-17, August.

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