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A Bayesian Semiparametric Survival Model with Longitudinal Markers

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  • Song Zhang
  • Peter Müller
  • Kim-Anh Do

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  • Song Zhang & Peter Müller & Kim-Anh Do, 2010. "A Bayesian Semiparametric Survival Model with Longitudinal Markers," Biometrics, The International Biometric Society, vol. 66(2), pages 435-443, June.
    • Handle: RePEc:bla:biomet:v:66:y:2010:i:2:p:435-443
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01276.x
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    References listed on IDEAS

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    1. Yu, Menggang & Taylor, Jeremy M.G. & Sandler, Howard M., 2008. "Individual Prediction in Prostate Cancer Studies Using a Joint Longitudinal SurvivalCure Model," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 178-187, March.
    2. Elizabeth R. Brown & Joseph G. Ibrahim, 2003. "Bayesian Approaches to Joint Cure-Rate and Longitudinal Models with Applications to Cancer Vaccine Trials," Biometrics, The International Biometric Society, vol. 59(3), pages 686-693, September.
    3. Chen, Ming-Hui & Ibrahim, Joseph G. & Sinha, Debajyoti, 2004. "A new joint model for longitudinal and survival data with a cure fraction," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 18-34, October.
    4. Stephen Walker & Bani K. Mallick, 1999. "A Bayesian Semiparametric Accelerated Failure Time Model," Biometrics, The International Biometric Society, vol. 55(2), pages 477-483, June.
    5. Hanson, Timothy E., 2006. "Inference for Mixtures of Finite Polya Tree Models," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1548-1565, December.
    6. Jane Xu & Scott L. Zeger, 2001. "Joint analysis of longitudinal data comprising repeated measures and times to events," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(3), pages 375-387.
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