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A data-augmentation method for infectious disease incidence data from close contact groups

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  • Yang, Yang
  • Longini Jr., Ira M.
  • Elizabeth Halloran, M.

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  • 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.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:12:p:6582-6595
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    References listed on IDEAS

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    1. Philip D. O'Neill & David J. Balding & Niels G. Becker & Mervi Eerola & Denis Mollison, 2000. "Analyses of infectious disease data from household outbreaks by Markov chain Monte Carlo methods," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(4), pages 517-542.
    2. Susmita Datta & M. Elizabeth Halloran & Ira M. Longini Jr, 1999. "Efficiency of Estimating Vaccine Efficacy for Susceptibility and Infectiousness: Randomization by Individual Versus Household," Biometrics, The International Biometric Society, vol. 55(3), pages 792-798, September.
    3. P. D. O’Neill & G. O. Roberts, 1999. "Bayesian inference for partially observed stochastic epidemics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(1), pages 121-129.
    4. Niels G. Becker & Abraham M. Hasofer, 1997. "Estimation in Epidemics with Incomplete Observations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 59(2), pages 415-429.
    5. Yang Yang & Ira M. Longini & M. Elizabeth Halloran, 2006. "Design and evaluation of prophylactic interventions using infectious disease incidence data from close contact groups," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(3), pages 317-330, May.
    6. Halloran M.E. & Preziosi M.P. & Chu H., 2003. "Estimating Vaccine Efficacy From Secondary Attack Rates," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 38-46, January.
    7. Richard Paap, 2002. "What are the advantages of MCMC based inference in latent variable models?," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 56(1), pages 2-22, February.
    8. Ira M. Longini & M. Elizabeth Halloran, 1996. "A Frailty Mixture Model for Estimating Vaccine Efficacy," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 45(2), pages 165-173, June.
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    Cited by:

    1. 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.
    2. Mao, Shanjun & Fan, Xiaodan & Hu, Jie, 2021. "Correlation for tree-shaped datasets and its Bayesian estimation," Computational Statistics & Data Analysis, Elsevier, vol. 164(C).
    3. McKinley, Trevelyan J. & Ross, Joshua V. & Deardon, Rob & Cook, Alex R., 2014. "Simulation-based Bayesian inference for epidemic models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 434-447.
    4. Gail E. Potter & Niel Hens, 2013. "A penalized likelihood approach to estimate within-household contact networks from egocentric data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(4), pages 629-648, August.
    5. Gyanendra Pokharel & Rob Deardon, 2022. "Emulation‐based inference for spatial infectious disease transmission models incorporating event time uncertainty," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 455-479, March.

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