Bayesian Methods in Pharmaceutical Research

1st Edition

Emmanuel Lesaffre, Gianluca Baio, Bruno Boulanger

Chapman and Hall/CRC
February 17, 2020 Forthcoming
Reference - 552 Pages - 111 B/W Illustrations
ISBN 9781138748484 - CAT# K32658
Series: Chapman & Hall/CRC Biostatistics Series

For Instructors Request Inspection Copy

was $150.00

USD$120.00

SAVE ~$30.00

Availabe for Pre-Order. This item will ship after February 17, 2020
Add to Wish List
FREE Standard Shipping!

Summary

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.

Emmanuel Lesaffre is Professor of Biostatistics at KU Leuven, Belgium.

Gianluca Baio is Professor of Statistics and Health Economics at University College London, UK.

Bruno Boulanger is Chief Scientific Officer at PharmaLex, Belgium.

Instructors

We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption.

Request an
e-inspection copy

Share this Title