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Joint Models for the Association of Longitudinal Binary and Continuous Processes With Application to a Smoking Cessation Trial

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  • Liu, Xuefeng
  • Daniels, Michael J.
  • Marcus, Bess

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  • Liu, Xuefeng & Daniels, Michael J. & Marcus, Bess, 2009. "Joint Models for the Association of Longitudinal Binary and Continuous Processes With Application to a Smoking Cessation Trial," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 429-438.
    • Handle: RePEc:bes:jnlasa:v:104:i:486:y:2009:p:429-438
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    Cited by:

    1. Carsten Botts, 2013. "An accept-reject algorithm for the positive multivariate normal distribution," Computational Statistics, Springer, vol. 28(4), pages 1749-1773, August.
    2. Fasano, Augusto & Rebaudo, Giovanni & Durante, Daniele & Petrone, Sonia, 2021. "A closed-form filter for binary time series," MPRA Paper 122349, University Library of Munich, Germany.
    3. Daniels, M.J. & Pourahmadi, M., 2009. "Modeling covariance matrices via partial autocorrelations," Journal of Multivariate Analysis, Elsevier, vol. 100(10), pages 2352-2363, November.
    4. Dang,Hai-Anh H. & King,Elizabeth M. & Dang,Hai-Anh H. & King,Elizabeth M., 2013. "Incentives and teacher effort : further evidence from a developing country," Policy Research Working Paper Series 6694, The World Bank.
    5. N. Lee & C. Priebe, 2011. "A latent process model for time series of attributed random graphs," Statistical Inference for Stochastic Processes, Springer, vol. 14(3), pages 231-253, October.
    6. Leila Amiri & Mojtaba Khazaei & Mojtaba Ganjali, 2018. "A mixture latent variable model for modeling mixed data in heterogeneous populations and its applications," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(1), pages 95-115, January.
    7. Jiin Choi & Stewart J. Anderson & Thomas J. Richards & Wesley K. Thompson, 2014. "Prediction of transplant-free survival in idiopathic pulmonary fibrosis patients using joint models for event times and mixed multivariate longitudinal data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(10), pages 2192-2205, October.

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