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Bayesian Methods in Pharmaceutical Research

By: Emmanuel Lesaffre (Editor), Gianluca Baio (Editor), Bruno Boulanger (Editor)

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Paperback | 13 December 2021 | Edition Number 1

At a Glance

Paperback
548 Pages

Dimensions(cm)
25.4 x 17.78 x 2.82

Paperback

$183.99

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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.

Industry Reviews

"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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