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Bayesian applications in pharmaceuti...

Lakshminarayanan, Mani.

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Bayesian applications in pharmaceutical development

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bayesian applications in pharmaceutical development/ edited by Mani Lakshminarayanan, Fanni Natanegara.
其他作者:	Lakshminarayanan, Mani.
出版者:	Boca Raton :CRC Press, : c2020.,
面頁冊數:	1 online resource (1 v.)
附註:	"A Chapman & Hall book"--title page.
標題:	Drug development - Statistical methods. -
電子資源:	https://www.taylorfrancis.com/books/9781315099798
ISBN:	9781315099798

Bayesian applications in pharmaceutical development
Bayesian applications in pharmaceutical development[electronic resource] /edited by Mani Lakshminarayanan, Fanni Natanegara. - 1st ed. - Boca Raton :CRC Press,c2020. - 1 online resource (1 v.) - Chapman & Hall/CRC biostatistics series. - Chapman & Hall/CRC biostatistics series..

"A Chapman & Hall book"--title page.

The cost for bringing new medicine from discovery to market has nearly doubled in the last decade and has now reached

ISBN: 9781315099798Subjects--Topical Terms:

1602548
Drug development
--Statistical methods.

LC Class. No.: RM301.25

Dewey Class. No.: 615.1901519542

Bayesian applications in pharmaceutical development
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245 0 0 $a Bayesian applications in pharmaceutical development $h [electronic resource] / $c edited by Mani Lakshminarayanan, Fanni Natanegara.
250 $a 1st ed.
260 $a Boca Raton : $b CRC Press, $c c2020.
300 $a 1 online resource (1 v.)
490 1 $a Chapman & Hall/CRC biostatistics series
500 $a "A Chapman & Hall book"--title page.
520 $a 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.
588 $a Description based on print version record.
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650 0 $a Bayesian statistical decision theory. $3 551404
700 1 $a Lakshminarayanan, Mani. $3 3512520
700 1 $a Natanegara, Fanni. $3 3512521
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