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Bayesian Inference for Smoking Cessation with a Latent Cure State

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  • Sheng Luo
  • Ciprian M. Crainiceanu
  • Thomas A. Louis
  • Nilanjan Chatterjee

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  • Sheng Luo & Ciprian M. Crainiceanu & Thomas A. Louis & Nilanjan Chatterjee, 2009. "Bayesian Inference for Smoking Cessation with a Latent Cure State," Biometrics, The International Biometric Society, vol. 65(3), pages 970-978, September.
  • Handle: RePEc:bla:biomet:v:65:y:2009:i:3:p:970-978
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01167.x
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    References listed on IDEAS

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    1. Li, Chin-Shang & Taylor, Jeremy M. G. & Sy, Judy P., 2001. "Identifiability of cure models," Statistics & Probability Letters, Elsevier, vol. 54(4), pages 389-395, October.
    2. B. J. Cowling & J. L. Hutton & J. E. H. Shaw, 2006. "Joint modelling of event counts and survival times," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(1), pages 31-39, January.
    3. Xuelin Huang & Janice N. Cormier & Peter W. T. Pisters, 2006. "Estimation of the Causal Effects on Survival of Two-Stage Nonrandomized Treatment Sequences for Recurrent Diseases," Biometrics, The International Biometric Society, vol. 62(3), pages 901-909, September.
    4. Luo, Sheng & Crainiceanu, Ciprian M & Louis, Thomas A & Chatterjee, Nilanjan, 2008. "Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 1002-1013.
    5. Mervi Eerola & Dario Gasbarra & P. Helena Mäkelä & Henri Linden & Andrei Andreev, 2003. "Joint Modelling of Recurrent Infections and Antibody Response by Bayesian Data Augmentation," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 30(4), pages 677-698, December.
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    Cited by:

    1. Yimei Li & E. Paul Wileyto & Daniel F. Heitjan, 2011. "Prediction of Individual Long-term Outcomes in Smoking Cessation Trials Using Frailty Models," Biometrics, The International Biometric Society, vol. 67(4), pages 1321-1329, December.

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