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Da: California Books, Miami, FL, U.S.A.
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Editore: H N H International Limited, 2021
ISBN 10: 1032177861 ISBN 13: 9781032177861
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Editore: H N H International Limited, 2021
ISBN 10: 1032177861 ISBN 13: 9781032177861
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 54,83
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 185.
Editore: Taylor and Francis Ltd, GB, 2021
ISBN 10: 1032177861 ISBN 13: 9781032177861
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 69,20
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Aggiungi al carrelloPaperback. Condizione: New. Drug development is an iterative process. The recent publications of regulatory guidelines further entail a lifecycle approach. Blending data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake of Bayesian methodologies is lagging behind in the field of pharmaceutical development.Written specifically for pharmaceutical practitioners, Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies, describes a wide range of Bayesian applications to problems throughout pre-clinical, clinical, and Chemistry, Manufacturing, and Control (CMC) development. Authored by two seasoned statisticians in the pharmaceutical industry, the book provides detailed Bayesian solutions to a broad array of pharmaceutical problems.Features Provides a single source of information on Bayesian statistics for drug development Covers a wide spectrum of pre-clinical, clinical, and CMC topics Demonstrates proper Bayesian applications using real-life examples Includes easy-to-follow R code with Bayesian Markov Chain Monte Carlo performed in both JAGS and Stan Bayesian software platforms Offers sufficient background for each problem and detailed description of solutions suitable for practitioners with limited Bayesian knowledgeHarry Yang, Ph.D., is Senior Director and Head of Statistical Sciences at AstraZeneca. He has 24 years of experience across all aspects of drug research and development and extensive global regulatory experiences. He has published 6 statistical books, 15 book chapters, and over 90 peer-reviewed papers on diverse scientific and statistical subjects, including 15 joint statistical works with Dr. Novick. He is a frequent invited speaker at national and international conferences. He also developed statistical courses and conducted training at the FDA and USP as well as Peking University.Steven Novick, Ph.D., is Director of Statistical Sciences at AstraZeneca. He has extensively contributed statistical methods to the biopharmaceutical literature. Novick is a skilled Bayesian computer programmer and is frequently invited to speak at conferences, having developed and taught courses in several areas, including drug-combination analysis and Bayesian methods in clinical areas. Novick served on IPAC-RS and has chaired several national statistical conferences.
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Aggiungi al carrelloCondizione: New. In.
Editore: Chapman and Hall/CRC 2021-09, 2021
ISBN 10: 1032177861 ISBN 13: 9781032177861
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 63,45
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Da: Revaluation Books, Exeter, Regno Unito
EUR 63,81
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Aggiungi al carrelloPaperback. Condizione: Brand New. 310 pages. 9.18x6.12x0.74 inches. In Stock.
Condizione: New. 2021. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Da: Corner of a Foreign Field, Tokyo, TOKYO, Giappone
Prima edizione
EUR 79,62
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Aggiungi al carrelloHardcover. Condizione: Very Good. No Jacket. 1st Edition. 2019.Hardcover.Very good condition.310 pages.Ships from Japan.Usually ships in 1-2 working days.
Da: Revaluation Books, Exeter, Regno Unito
EUR 81,47
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Aggiungi al carrelloPaperback. Condizione: Brand New. 310 pages. 9.18x6.12x0.74 inches. In Stock.
Editore: Chapman and Hall/CRC 2019-07-01, 2019
ISBN 10: 1138295876 ISBN 13: 9781138295872
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 90,27
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Aggiungi al carrelloHardcover. Condizione: New.
Da: moluna, Greven, Germania
EUR 61,01
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Aggiungi al carrelloCondizione: New. Harry Yang is Senior Director and Head of Statistical Sciences at MedImmune. He has 24 years of experience across all aspects of drug research and development and extensive global regulatory experiences. He has published six statistical .
Editore: Taylor and Francis Ltd, GB, 2021
ISBN 10: 1032177861 ISBN 13: 9781032177861
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 65,28
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Aggiungi al carrelloPaperback. Condizione: New. Drug development is an iterative process. The recent publications of regulatory guidelines further entail a lifecycle approach. Blending data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake of Bayesian methodologies is lagging behind in the field of pharmaceutical development.Written specifically for pharmaceutical practitioners, Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies, describes a wide range of Bayesian applications to problems throughout pre-clinical, clinical, and Chemistry, Manufacturing, and Control (CMC) development. Authored by two seasoned statisticians in the pharmaceutical industry, the book provides detailed Bayesian solutions to a broad array of pharmaceutical problems.Features Provides a single source of information on Bayesian statistics for drug development Covers a wide spectrum of pre-clinical, clinical, and CMC topics Demonstrates proper Bayesian applications using real-life examples Includes easy-to-follow R code with Bayesian Markov Chain Monte Carlo performed in both JAGS and Stan Bayesian software platforms Offers sufficient background for each problem and detailed description of solutions suitable for practitioners with limited Bayesian knowledgeHarry Yang, Ph.D., is Senior Director and Head of Statistical Sciences at AstraZeneca. He has 24 years of experience across all aspects of drug research and development and extensive global regulatory experiences. He has published 6 statistical books, 15 book chapters, and over 90 peer-reviewed papers on diverse scientific and statistical subjects, including 15 joint statistical works with Dr. Novick. He is a frequent invited speaker at national and international conferences. He also developed statistical courses and conducted training at the FDA and USP as well as Peking University.Steven Novick, Ph.D., is Director of Statistical Sciences at AstraZeneca. He has extensively contributed statistical methods to the biopharmaceutical literature. Novick is a skilled Bayesian computer programmer and is frequently invited to speak at conferences, having developed and taught courses in several areas, including drug-combination analysis and Bayesian methods in clinical areas. Novick served on IPAC-RS and has chaired several national statistical conferences.
Condizione: As New. Unread book in perfect condition.
Da: preigu, Osnabrück, Germania
EUR 69,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Bayesian Analysis with R for Drug Development | Concepts, Algorithms, and Case Studies | Harry Yang (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Chapman and Hall/CRC | EAN 9781032177861 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 141,55
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 185.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 141,54
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Da: Majestic Books, Hounslow, Regno Unito
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Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 140,91
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.