1st Edition

Bayesian Methods in Pharmaceutical Research

Edited By Emmanuel Lesaffre, Gianluca Baio, Bruno Boulanger Copyright 2020
546 Pages 111 B/W Illustrations
by Chapman & Hall

546 Pages 111 B/W Illustrations
by Chapman & Hall

546 Pages 111 B/W Illustrations
by Chapman & Hall

Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation... Read more

I Introductory Part

Chapter 1: Bayesian Background
Emmanuel Lesaffre and Gianluca Baio

Chapter 2: FDA Regulatory Acceptance of Bayesian Statistics
Gregory Campbell

Chapter 3: Bayesian Tail Probabilities for Decision Making
Leonhard Held

II Clinical Development

Chapter 4: Clinical Development in the Light of Bayesian Statistics
David Ohlssen

Chapter 5: Prior Elicitation
Nicky Best, Nigel Dallow, and Timothy Montague

Chapter 6: Use of Historical Data
Beat Neuenschwander and Heinz Schmidli

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

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

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

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

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

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

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

III Post-Marketing

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

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

Chapter 16: Bayesian Modeling for Economic Evaluation Using "Real World Evidence"
Gianluca Baio

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

IV Product Development and Manufacturing

Chapter 18: Product Development and Manufacturing
Bruno Boulanger and Timothy Mutsvari

Chapter 19: Process Development and Validation
John J. Peterson

Chapter 20: Analytical Method and Assay
Pierre Lebrun and Eric Rozet

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

Chapter 22: Content Uniformity Testing
Steven Novick and Buffy Hudson-Curtis

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

Chapter 24: Bayesian Statistics for Manufacturing
Tara Scherder and Katherine Giacoletti

V Additional Topics

Chapter 25: Bayesian Statistical Methodology in the Medical Device Industry
Tarek Haddad

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

Biography

Emmanuel Lesaffre, Gianluca Baio, Bruno Boulanger