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A Penalized Likelihood Approach for a Progressive Three-State Model with Censored and Truncated Data: Application to AIDS

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  • Pierre Joly
  • Daniel Commenges

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  • Pierre Joly & Daniel Commenges, 1999. "A Penalized Likelihood Approach for a Progressive Three-State Model with Censored and Truncated Data: Application to AIDS," Biometrics, The International Biometric Society, vol. 55(3), pages 887-890, September.
    • Handle: RePEc:bla:biomet:v:55:y:1999:i:3:p:887-890
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.00887.x
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    References listed on IDEAS

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    1. Jane C. Lindsey & Louise M. Ryan, 1993. "A Three‐State Multiplicative Model for Rodent Tumorigenicity Experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 42(2), pages 283-300, June.
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    Cited by:

    1. Marc Chadeau‐Hyam & Paul S. Clarke & Chantal Guihenneuc‐Jouyaux & Simon N. Cousens & Robert G. Will & Azra C. Ghani, 2010. "An application of hidden Markov models to the French variant Creutzfeldt–Jakob disease epidemic," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(5), pages 839-853, November.
    2. B. A. Griffin & S. W. Lagakos, 2008. "Design and Analysis of Arm-in-Cage Experiments: Inference for Three-State Progressive Disease Models with Common Periodic Observation Times," Biometrics, The International Biometric Society, vol. 64(2), pages 337-344, June.
    3. Asanjarani Azam & Liquet Benoit & Nazarathy Yoni, 2022. "Estimation of semi-Markov multi-state models: a comparison of the sojourn times and transition intensities approaches," The International Journal of Biostatistics, De Gruyter, vol. 18(1), pages 243-262, May.
    4. Machado, Robson J.M. & van den Hout, Ardo & Marra, Giampiero, 2021. "Penalised maximum likelihood estimation in multi-state models for interval-censored data," Computational Statistics & Data Analysis, Elsevier, vol. 153(C).
    5. Andrew C. Titman, 2011. "Flexible Nonhomogeneous Markov Models for Panel Observed Data," Biometrics, The International Biometric Society, vol. 67(3), pages 780-787, September.
    6. Li, Chenxi, 2016. "Cause-specific hazard regression for competing risks data under interval censoring and left truncation," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 197-208.
    7. David B. Dunson & Donna D. Baird, 2001. "A Flexible Parametric Model for Combining Current Status and Age at First Diagnosis Data," Biometrics, The International Biometric Society, vol. 57(2), pages 396-403, June.
    8. E. Mathieu & Y. Foucher & P. Dellamonica & J. P. Daures, 2007. "Parametric and Non Homogeneous Semi-Markov Process for HIV Control," Methodology and Computing in Applied Probability, Springer, vol. 9(3), pages 389-397, September.
    9. Andrew C. Titman & Linda D. Sharples, 2010. "Semi-Markov Models with Phase-Type Sojourn Distributions," Biometrics, The International Biometric Society, vol. 66(3), pages 742-752, September.
    10. Proust-Lima, Cécile & Joly, Pierre & Dartigues, Jean-François & Jacqmin-Gadda, Hélène, 2009. "Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1142-1154, February.

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