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Semiparametric Bayesian commensurate survival model for post-market medical device surveillance with non-exchangeable historical data

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  • Thomas A. Murray
  • Brian P. Hobbs
  • Theodore C. Lystig
  • Bradley P. Carlin

Abstract

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Suggested Citation

  • Thomas A. Murray & Brian P. Hobbs & Theodore C. Lystig & Bradley P. Carlin, 2014. "Semiparametric Bayesian commensurate survival model for post-market medical device surveillance with non-exchangeable historical data," Biometrics, The International Biometric Society, vol. 70(1), pages 185-191, March.
  • Handle: RePEc:bla:biomet:v:70:y:2014:i:1:p:185-191
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    File URL: http://hdl.handle.net/10.1111/biom.12115
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    References listed on IDEAS

    as
    1. Ludwig Fahrmeir & Stefan Lang, 2001. "Bayesian inference for generalized additive mixed models based on Markov random field priors," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(2), pages 201-220.
    2. Brian P. Hobbs & Bradley P. Carlin & Sumithra J. Mandrekar & Daniel J. Sargent, 2011. "Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials," Biometrics, The International Biometric Society, vol. 67(3), pages 1047-1056, September.
    3. Ibrahim J.G. & Chen M-H. & Sinha D., 2003. "On Optimality Properties of the Power Prior," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 204-213, January.
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    Cited by:

    1. Chen, Nan & Carlin, Bradley P. & Hobbs, Brian P., 2018. "Web-based statistical tools for the analysis and design of clinical trials that incorporate historical controls," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 50-68.

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