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Bayesian approach to analysing longitudinal bivariate binary data with informative dropout


  • Jennifer Chan


  • Wai Wan


No abstract is available for this item.

Suggested Citation

  • Jennifer Chan & Wai Wan, 2011. "Bayesian approach to analysing longitudinal bivariate binary data with informative dropout," Computational Statistics, Springer, vol. 26(1), pages 121-144, March.
  • Handle: RePEc:spr:compst:v:26:y:2011:i:1:p:121-144
    DOI: 10.1007/s00180-010-0213-5

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    References listed on IDEAS

    1. Chan, Jennifer S.K. & Kuk, Anthony Y.C. & Yam, Carrie H.K., 2005. "Monte Carlo approximation through Gibbs output in generalized linear mixed models," Journal of Multivariate Analysis, Elsevier, vol. 94(2), pages 300-312, June.
    2. Montmarquette, Claude & Mahseredjian, Sophie & Houle, Rachel, 2001. "The determinants of university dropouts: a bivariate probability model with sample selection," Economics of Education Review, Elsevier, vol. 20(5), pages 475-484, October.
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