Available to preorder

Bayesian statistics
Author

Written by Gianluca

Published

November 11, 2019

I think we have the final version of the cover for our upcoming book Bayesian Methods in Pharmaceutical Research (BMPR), which I edited together with Emmanuel Lesaffre and Bruno Boulanger. The book will be published by CRC, collates contributions by leading researchers in the various aspects of Bayesian modelling within the pharmaceutical industry. I believe the book page at CRC website has already been created here. I believe the book is available to pre-order and should be published early in 2020!

Here’s also the list of chapters — and the list of contributors is also outstanding!

  1. Bayesian Background. Emmanuel Lesaffre and Gianluca Baio

  2. FDA Regulatory Acceptance of Bayesian Statistics. Gregory Campbell

  3. Bayesian Tail Probabilities for Decision Making. Leonhard Held

  4. Clinical Development in the Light of Bayesian Statistics. David Ohlssen

  5. Prior Elicitation. Nicky Best, Nigel Dallow, and Timothy Montague

  6. Use of Historical Data. Beat Neuenschwander and Heinz Schmidli

  7. Dose Ranging Studies and Dose Determination. Phil Woodward, Alun Bedding, and David Dejardin

  8. Bayesian Adaptive Designs in Drug Development. Gary L. Rosner

  9. Bayesian Methods for Longitudinal Data with Missingness. Michael J. Daniels and Dandan Xu

  10. Survival Analysis and Censored Data. Linda D. Sharples and Nikolaos Demiris

  11. Benefit of Bayesian Clustering of Longitudinal Data: Study of Cognitive Decline for Precision Medicine. Anais Rouanet, Sylvia Richardson, and Brian Tom

  12. Bayesian Frameworks for Rare Disease Clinical Development Programs. Freda Cooner, Forrest Williamson, and Bradley P. Carlin

  13. Bayesian Hierarchical Models for Data Extrapolation and Analysis in Pediatric Disease Clinical Trials. Cynthia Basu and Bradley P. Carlin

  14. Bayesian Methods for Meta-Analysis. Nicky J Welton, Haley E Jones, and Sofia Dias

  15. Economic Evaluation and Cost-Effectiveness of Health Care Interventions. Nicky J Welton, Mark Strong, Christopher Jackson, and Gianluca Baio

  16. Bayesian Modeling for Economic Evaluation Using “Real World Evidence”. Gianluca Baio

  17. Bayesian Benefit-Risk Evaluation in Pharmaceutical Research. Carl Di Casoli, Yueqin Zhao, Yannis Jemiai, Pritibha Singh, and Maria Costa

  18. Product Development and Manufacturing. Bruno Boulanger and Timothy Mutsvari

  19. Process Development and Validation. John J. Peterson

  20. Analytical Method and Assay. Pierre Lebrun and Eric Rozet

  21. Bayesian Methods for the Design and Analysis of Stability Studies. Tonakpon Hermane Avohou, Pierre Lebrun, Eric Rozet, and Bruno Boulanger

  22. Content Uniformity Testing. Steven Novick and Bu_y Hudson-Curtis

  23. Bayesian methods for in vitro dissolution drug testing and similarity comparisons. Linas Mockus and Dave LeBlond

  24. Bayesian Statistics for Manufacturing. Tara Scherder and Katherine Giacoletti

  25. Bayesian Statistical Methodology in the Medical Device Industry. Tarek Haddad

  26. Program and Portfolio Decision-Making. Nitin Patel, Charles Liu, Masanori Ito, Yannis Jemiai, Suresh Ankolekar, and Yusuke Yamaguchi

I’ll prepare a page specifically for this new book, where I’ll include notes, examples etc.