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Bayesian Methods in Practice: Experiences in the Pharmaceutical Industry

Author

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  • A. Racine
  • A. P. Grieve
  • H. Flühler
  • A. F. M. Smith

Abstract

Four typical applications of Bayesian methods in pharmaceutical research are outlined. The implications of the use of such methods are discussed, and comparisons with traditional methodologies are given.

Suggested Citation

  • A. Racine & A. P. Grieve & H. Flühler & A. F. M. Smith, 1986. "Bayesian Methods in Practice: Experiences in the Pharmaceutical Industry," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 35(2), pages 93-120, June.
    • Handle: RePEc:bla:jorssc:v:35:y:1986:i:2:p:93-120
    DOI: 10.2307/2347264
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    Cited by:

    1. Luai Al-Labadi & Zeynep Baskurt & Michael Evans, 2017. "Goodness of fit for the logistic regression model using relative belief," Journal of Statistical Distributions and Applications, Springer, vol. 4(1), pages 1-12, December.
    2. Jordi Vallverdú, 2008. "The False Dilemma: Bayesian vs. Frequentist," E-LOGOS, Prague University of Economics and Business, vol. 2008(1).
    3. Ghaderinezhad, Fatemeh & Ley, Christophe & Serrien, Ben, 2022. "The Wasserstein Impact Measure (WIM): A practical tool for quantifying prior impact in Bayesian statistics," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).
    4. S. P. Brooks & E. A. Catchpole & B. J. T. Morgan & M. P. Harris, 2002. "Bayesian methods for analysing ringing data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 187-206.
    5. Moreno Ursino & Nigel Stallard, 2021. "Bayesian Approaches for Confirmatory Trials in Rare Diseases: Opportunities and Challenges," IJERPH, MDPI, vol. 18(3), pages 1-9, January.

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