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Produktbild: Bayesian Methods in Pharmaceutical Research
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Bayesian Methods in Pharmaceutical Research

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Bayesian methods have emerged as the driving force for methodological development in drug development. This edited book provides broad coverage of Bayesian methods in pharmaceutical research. The book includes contributions from some of the leading researchers in the field, and has been edited to ensure consistency in level and style.

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 of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients.

This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients.

The book covers:

  • Theory, methods, applications, and computing
  • Bayesian biostatistics for clinical innovative designs
  • Adding value with Real World Evidence
  • Opportunities for rare, orphan diseases, and pediatric development
  • Applied Bayesian biostatistics in manufacturing
  • Decision making and Portfolio management
  • Regulatory perspective and public health policies

Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research.

Inhaltsverzeichnis

I Introductory part
Chapter 1: Bayesian Background
Chapter 2: FDA Regulatory Acceptance of Bayesian Statistics
Chapter 3: Bayesian Tail Probabilities for Decision Making
II Clinical development
Chapter 4: Clinical Development in the Light of Bayesian Statistics
Chapter 5: Prior Elicitation
Chapter 6: Use of Historical Data
Chapter 7: Dose Ranging Studies and Dose Determination
Chapter 8: Bayesian Adaptive Designs in Drug Development
Chapter 9: Bayesian Methods for Longitudinal Data with Missingness
Chapter 10: Survival Analysis and Censored Data
Chapter 11: Benefit of Bayesian Clustering of Longitudinal Data: Study of Cognitive Decline for Precision Medicine
Chapter 12: Bayesian Frameworks for Rare Disease Clinical Development Programs
Chapter 13: Bayesian Hierarchical Models for Data Extrapolation and Analysis in Pediatric Disease Clinical Trials
III Post-marketing
Chapter 14: Bayesian Methods for Meta-Analysis
Chapter 15: Economic Evaluation and Cost-Effectiveness of Health Care Interventions
Chapter 16: Bayesian Modeling for Economic Evaluation Using "Real World Evidence"
Chapter 17: Bayesian Benefit-Risk Evaluation in Pharmaceutical Research
IV Product development and manufacturing
Chapter 18: Product Development and Manufacturing
Chapter 19: Process Development and Validation
Chapter 20: Analytical Method and Assay
Chapter 21: Bayesian Methods for the Design and Analysis of Stability Studies
Chapter 22: Content Uniformity Testing
Chapter 23: Bayesian methods for in vitro dissolution drug testing and similarity comparisons
Chapter 24: Bayesian Statistics for Manufacturing
V Additional topics
Chapter 25: Bayesian Statistical Methodology in the Medical Device Industry
Chapter 26: Program and Portfolio Decision-Making

Produktdetails

Erscheinungsdatum
13. Dezember 2021
Sprache
englisch
Untertitel
111 SW-Abbildungen. Sprache: Englisch.
Seitenanzahl
548
Reihe
Chapman & Hall/CRC Biostatistics Series
Herausgegeben von
Emmanuel Lesaffre, Gianluca Baio, Bruno Boulanger
Illustrationen
111 SW-Abb.
Verlag/Hersteller
Produktart
kartoniert
Abbildungen
111 SW-Abb.
Gewicht
1018 g
Größe (L/B/H)
254/178/30 mm
ISBN
9781032241524

Pressestimmen

"The book is full of interesting real examples across the chapters, which not only makes the reading fun but also demonstrates the practical usefulness of Bayesian methods in pharmaceutical research. In synthesis, this is a very well written book, which can be used as self-learning material or as a main reference for experts and practitioners."

- Pablo Emilio Verde, International Society for Clinical Biostatistics, 72, 2021

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