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A Hybrid EM and Monte Carlo EM Algorithm and Its Application to Analysis of Transmission of Infectious Diseases

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  • Yang Yang
  • Ira M. Longini Jr.
  • M. Elizabeth Halloran
  • Valerie Obenchain

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Suggested Citation

  • Yang Yang & Ira M. Longini Jr. & M. Elizabeth Halloran & Valerie Obenchain, 2012. "A Hybrid EM and Monte Carlo EM Algorithm and Its Application to Analysis of Transmission of Infectious Diseases," Biometrics, The International Biometric Society, vol. 68(4), pages 1238-1249, December.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:4:p:1238-1249
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2012.01757.x
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    References listed on IDEAS

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    1. Yang, Yang & Longini Jr., Ira M. & Elizabeth Halloran, M., 2007. "A data-augmentation method for infectious disease incidence data from close contact groups," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6582-6595, August.
    2. J. G. Booth & J. P. Hobert, 1999. "Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 265-285.
    3. Yang, Yang & Halloran, M. Elizabeth & Daniels, Michael J. & Longini, Ira M. & Burke, Donald S. & Cummings, Derek A. T., 2010. "Modeling Competing Infectious Pathogens From a Bayesian Perspective: Application to Influenza Studies With Incomplete Laboratory Results," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1310-1322.
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