Bayesian Applications in Pharmaceutical Development
Language: English
Published by Taylor & Francis Ltd Okt 2019, 2019
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - 'This provides comprehensive coverage of Bayesian application across the span of drug development from discovery to clinical trial to manufacturing with practical examples as illustration'.
Seller Inventory # 9781138296763
- Title
- Bayesian Applications in Pharmaceutical Development
- Author
- Mani Lakshminarayanan
- Publisher
- Taylor & Francis Ltd Okt 2019
- Publication year
- 2019
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1138296767
- ISBN 13
- 9781138296763
- Item weight
- 956 grams
- Dimensions
- 241x162x28 mm
- Series
- Book 103 of 155: Chapman & Hall/CRC Biostatistics
The cost for bringing new medicine from discovery to market has nearly doubled in the last decade and has now reached $2.6 billion. There is an urgent need to make drug development less time-consuming and less costly. Innovative trial designs/ analyses such as the Bayesian approach are essential to meet this need. This book will be the first to provide comprehensive coverage of Bayesian applications across the span of drug development, from discovery, to clinical trial, to manufacturing with practical examples.
This book will have a wide appeal to statisticians, scientists, and physicians working in drug development who are motivated to accelerate and streamline the drug development process, as well as students who aspire to work in this field. The advantages of this book are:
- Provides motivating, worked, practical case examples with easy to grasp models, technical details, and computational codes to run the analyses
- Balances practical examples with best practices on trial simulation and reporting, as well as regulatory perspectives
- Chapters written by authors who are individual contributors in their respective topics
Dr. Mani Lakshminarayanan is a researcher and statistical consultant with more than 30 years of experience in the pharmaceutical industry. He has published over 50 articles, technical reports, and book chapters besides serving as a referee for several journals. He has a PhD in Statistics from Southern Methodist University, Dallas, Texas and is a Fellow of the American Statistical Association.
Dr. Fanni Natanegara has over 15 years of pharmaceutical experience and is currently Principal Research Scientist and Group Leader for the Early Phase Neuroscience Statistics team at Eli Lilly and Company. She played a key role in the Advanced Analytics team to provide Bayesian education and statistical consultation at Eli Lilly. Dr. Natanegara is the chair of the cross industry-regulatory-academic DIA BSWG to ensure that Bayesian methods are appropriately utilized for design and analysis throughout the drug-development process.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Mani Lakshminarayanan is a researcher and statistical consultant with more than 30 years of experience in the pharmaceutical industry. He has published over 50 articles, technical reports, and book chapters besides serving as a referee for several journals. He has a Ph.D. in Statistics from Southern Methodist University, Dallas, Texas and is a Fellow of the American Statistical Association.
Dr. Fanni Natanegara has over 15 years of pharmaceutical experience and is currently Principal Research Scientist and Group Leader for the Early Phase Neuroscience Statistics team at Eli Lilly and Company. She played a key role in the Advanced Analytics team to provide Bayesian education and statistical consultation at Eli Lilly. Dr. Natanegara is the chair of the cross industry-regulatory-academic DIA BSWG to ensure that Bayesian methods are appropriately utilized for design and analysis throughout the drug-development process.
"About the title" may belong to another edition of this title.
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