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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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    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    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.

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