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Separate and Joint Modeling of Longitudinal and Event Time Data Using Standard Computer Packages

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  • Guo X.
  • Carlin B.P.

Abstract

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Suggested Citation

  • Guo X. & Carlin B.P., 2004. "Separate and Joint Modeling of Longitudinal and Event Time Data Using Standard Computer Packages," The American Statistician, American Statistical Association, vol. 58, pages 16-24, February.
  • Handle: RePEc:bes:amstat:v:58:y:2004:m:february:p:16-24
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    Cited by:

    1. Martins, Thiago G. & Simpson, Daniel & Lindgren, Finn & Rue, HÃ¥vard, 2013. "Bayesian computing with INLA: New features," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 68-83.
    2. Schweitzer, Maurice E. & Hershey, John C. & Bradlow, Eric T., 2006. "Promises and lies: Restoring violated trust," Organizational Behavior and Human Decision Processes, Elsevier, vol. 101(1), pages 1-19, September.
    3. Feng Gao & J. Miller & Chengjie Xiong & Julia Beiser & Mae Gordon, 2011. "A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(1), pages 83-100, March.
    4. Chin-Tsang Chiang, 2011. "A more flexible joint latent model for longitudinal and survival time data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(2), pages 151-170, March.

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