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Prediction of Individual Long-term Outcomes in Smoking Cessation Trials Using Frailty Models

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  • Yimei Li
  • E. Paul Wileyto
  • Daniel F. Heitjan

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  • 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.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:4:p:1321-1329
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01578.x
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    References listed on IDEAS

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    1. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-1339, November.
    2. 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.
    3. Sudipto Banerjee & Bradley P. Carlin, 2004. "Parametric Spatial Cure Rate Models for Interval-Censored Time-to-Relapse Data," Biometrics, The International Biometric Society, vol. 60(1), pages 268-275, March.
    4. 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.
    5. Yu, Binbing & Peng, Yingwei, 2008. "Mixture cure models for multivariate survival data," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1524-1532, January.
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