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Joint Regression Analysis for Discrete Longitudinal Data

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  • L. Madsen
  • Y. Fang

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  • L. Madsen & Y. Fang, 2011. "Joint Regression Analysis for Discrete Longitudinal Data," Biometrics, The International Biometric Society, vol. 67(3), pages 1171-1175, September.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:3:p:1171-1175
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01494.x
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    References listed on IDEAS

    as
    1. Denuit, Michel & Lambert, Philippe, 2005. "Constraints on concordance measures in bivariate discrete data," Journal of Multivariate Analysis, Elsevier, vol. 93(1), pages 40-57, March.
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    Cited by:

    1. Shi, Peng & Valdez, Emiliano A., 2014. "Multivariate negative binomial models for insurance claim counts," Insurance: Mathematics and Economics, Elsevier, vol. 55(C), pages 18-29.
    2. Lu Yang & Claudia Czado, 2022. "Two‐part D‐vine copula models for longitudinal insurance claim data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(4), pages 1534-1561, December.
    3. Roy T. Sabo & N. Rao Chaganty, 2011. "Letter to the Editor of Biometrics on “Joint Regression Analysis for Discrete Longitudinal Data” by Madsen and Fang," Biometrics, The International Biometric Society, vol. 67(4), pages 1669-1670, December.
    4. Hughes, John, 2021. "On the occasional exactness of the distributional transform approximation for direct Gaussian copula models with discrete margins," Statistics & Probability Letters, Elsevier, vol. 177(C).
    5. George Karabatsos, 2024. "Copula Approximate Bayesian Computation Using Distribution Random Forests," Stats, MDPI, vol. 7(3), pages 1-49, September.
    6. Jong-Min Kim & Hyunsu Ju & Yoonsung Jung, 2020. "Copula Approach for Developing a Biomarker Panel for Prediction of Dengue Hemorrhagic Fever," Annals of Data Science, Springer, vol. 7(4), pages 697-712, December.
    7. L. L. Henn, 2022. "Limitations and performance of three approaches to Bayesian inference for Gaussian copula regression models of discrete data," Computational Statistics, Springer, vol. 37(2), pages 909-946, April.

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