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Fitting Semi-Markov Models to Interval-Censored Data with Unknown Initiation Times

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  • Glen A. Satten
  • Maya R. Sternberg

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  • Glen A. Satten & Maya R. Sternberg, 1999. "Fitting Semi-Markov Models to Interval-Censored Data with Unknown Initiation Times," Biometrics, The International Biometric Society, vol. 55(2), pages 507-513, June.
    • Handle: RePEc:bla:biomet:v:55:y:1999:i:2:p:507-513
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.00507.x
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    Citations

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    Cited by:

    1. Glen A. Satten, 1999. "Estimating the Extent of Tracking in Interval-Censored Chain-Of-Events Data," Biometrics, The International Biometric Society, vol. 55(4), pages 1228-1231, December.
    2. 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.
    3. Andrea Arfè & Stefano Peluso & Pietro Muliere, 2021. "The semi-Markov beta-Stacy process: a Bayesian non-parametric prior for semi-Markov processes," Statistical Inference for Stochastic Processes, Springer, vol. 24(1), pages 1-15, April.
    4. Peter F M Teunis & Eric G Evers & Paul D Hengeveld & Cindy M Dierikx & Cornelia C C H Wielders & Engeline van Duijkeren, 2018. "Time to acquire and lose carriership of ESBL/pAmpC producing E. coli in humans in the Netherlands," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-14, March.
    5. 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.
    6. 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.

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