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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, November.
    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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