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Flexible Nonhomogeneous Markov Models for Panel Observed Data

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  • Andrew C. Titman

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  • Andrew C. Titman, 2011. "Flexible Nonhomogeneous Markov Models for Panel Observed Data," Biometrics, The International Biometric Society, vol. 67(3), pages 780-787, September.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:3:p:780-787
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01550.x
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    References listed on IDEAS

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    1. R. A. Hubbard & L. Y. T. Inoue & J. R. Fann, 2008. "Modeling Nonhomogeneous Markov Processes via Time Transformation," Biometrics, The International Biometric Society, vol. 64(3), pages 843-850, September.
    2. 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.
    3. Ardo Van Den Hout & Carol Jagger & Fiona E. Matthews, 2009. "Estimating life expectancy in health and ill health by using a hidden Markov model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 449-465, September.
    4. 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.
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    Cited by:

    1. Jane M. Lange & Rebecca A. Hubbard & Lurdes Y. T. Inoue & Vladimir N. Minin, 2015. "A joint model for multistate disease processes and random informative observation times, with applications to electronic medical records data," Biometrics, The International Biometric Society, vol. 71(1), pages 90-101, March.
    2. 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).
    3. Daewoo Pak & Jing Ning & Richard J. Kryscio & Yu Shen, 2023. "Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(4), pages 752-768, October.
    4. Michael Crowther & Paul Lambert, 2016. "Multistate survival analysis in Stata," United Kingdom Stata Users' Group Meetings 2016 02, Stata Users Group.
    5. Lauren Scott & Chris Rogers, 2016. "Creating summary tables using the sumtable command," United Kingdom Stata Users' Group Meetings 2016 05, Stata Users Group.

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