Bayesian applications in pharmaceutical development

Author(s)

• Lakshminarayanan, Mani
• Natanegara, Fanni

Bibliographic Information

Bayesian applications in pharmaceutical development

edited by Mani Lakshminarayanan and Fanni Natanegara

（Chapman & Hall/CRC biostatistics series）（A Chapman & Hall book）

CRC Press, c2020

Note

Includes bibliographical references and index

Description and Table of Contents

Description

Provides a comprehensive coverage of Bayesian application across the pharmaceutical development from discovery to post-marketing to manufacturing Provides motivating, worked, practical case examples with easy to grasp models, technical details and computational codes to run the analyses Balances practical examples with guidance on best practices and regulatory perspectives Will appeal to statisticians, scientists, and physicians working in the pharmaceutical industry and regulatory agencies Covers broad Bayesian topics on designs, analyses, and reporting

Table of Contents

Introduction. Building prior. Discover/preclinical phase. Clinical phase. Product development. Regulatory overview of Bayesian application. Computational tools. Special topics.

by "Nielsen BookData"

• NCID: BC03658250
• ISBN:
  • 9781138296763
• LCCN: 2019017207
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Boca Raton
• Pages/Volumes: xiv, 518 p.
• Size: 24 cm
• Classification:
  • LCC : RM301.25
  • NLM : QV 745
  • DC23 : 615.1/9
• Subject Headings:
  • MESH : Pharmaceutical Preparations -- chemistry
  • MESH : Drug Development
  • MESH : Bayes Theorem
• Parent Bibliography ID:
  • BA8313747X
  • BB04603869