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A Semiparametric Transition Model with Latent Traits for Longitudinal Multistate Data

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  • Haiqun Lin
  • Zhenchao Guo
  • Peter N. Peduzzi
  • Thomas M. Gill
  • Heather G. Allore

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Suggested Citation

  • Haiqun Lin & Zhenchao Guo & Peter N. Peduzzi & Thomas M. Gill & Heather G. Allore, 2008. "A Semiparametric Transition Model with Latent Traits for Longitudinal Multistate Data," Biometrics, The International Biometric Society, vol. 64(4), pages 1032-1042, December.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:4:p:1032-1042
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01011.x
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    References listed on IDEAS

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    1. Lu Tian & David Zucker & L.J. Wei, 2005. "On the Cox Model With Time-Varying Regression Coefficients," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 172-183, March.
    2. Lei Liu & Robert A. Wolfe & Xuelin Huang, 2004. "Shared Frailty Models for Recurrent Events and a Terminal Event," Biometrics, The International Biometric Society, vol. 60(3), pages 747-756, September.
    3. Fushing Hsieh & Yi-Kuan Tseng & Jane-Ling Wang, 2006. "Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited," Biometrics, The International Biometric Society, vol. 62(4), pages 1037-1043, December.
    4. Joe, H., 1993. "Parametric Families of Multivariate Distributions with Given Margins," Journal of Multivariate Analysis, Elsevier, vol. 46(2), pages 262-282, August.
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    1. Bacchetti Peter & Boylan Ross D & Terrault Norah A & Monto Alexander & Berenguer Marina, 2010. "Non-Markov Multistate Modeling Using Time-Varying Covariates, with Application to Progression of Liver Fibrosis due to Hepatitis C Following Liver Transplant," The International Journal of Biostatistics, De Gruyter, vol. 6(1), pages 1-16, February.

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