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Stochastic Algorithms for Markov Models Estimation with Intermittent Missing Data

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  • Isabelle Deltour
  • Sylvia Richardson
  • Jean-Yves Le Hesran

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  • Isabelle Deltour & Sylvia Richardson & Jean-Yves Le Hesran, 1999. "Stochastic Algorithms for Markov Models Estimation with Intermittent Missing Data," Biometrics, The International Biometric Society, vol. 55(2), pages 565-573, June.
    • Handle: RePEc:bla:biomet:v:55:y:1999:i:2:p:565-573
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.00565.x
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    References listed on IDEAS

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    1. P. Diggle & M. G. Kenward, 1994. "Informative Drop‐Out in Longitudinal Data Analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(1), pages 49-73, March.
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    Cited by:

    1. 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.
    2. Paul S. Albert, 2000. "A Transitional Model for Longitudinal Binary Data Subject to Nonignorable Missing Data," Biometrics, The International Biometric Society, vol. 56(2), pages 602-608, June.
    3. Yu Liang & Wenbin Lu & Zhiliang Ying, 2009. "Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times," Biometrics, The International Biometric Society, vol. 65(2), pages 377-384, June.
    4. Pasanisi, Alberto & Fu, Shuai & Bousquet, Nicolas, 2012. "Estimating discrete Markov models from various incomplete data schemes," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2609-2625.

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