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Analysis of longitudinal data with intermittent missing values using the stochastic EM algorithm

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  • Gad, Ahmed M.
  • Ahmed, Abeer S.

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  • Gad, Ahmed M. & Ahmed, Abeer S., 2006. "Analysis of longitudinal data with intermittent missing values using the stochastic EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2702-2714, June.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:10:p:2702-2714
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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. Sotto, Cristina & Beunckens, Caroline & Molenberghs, Geert & Kenward, Michael G., 2011. "MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 301-311, January.
    2. Xie, Hui, 2012. "Analyzing longitudinal clinical trial data with nonignorable missingness and unknown missingness reasons," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1287-1300.

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