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Bayesian Analysis With R for Drug Development : Concepts, Algorithms, and Case Studies
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Bayesian Analysis With R for Drug Development : Concepts, Algorithms, and Case Studies
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Bayesian Analysis with R for Drug Development (Chapman & Hall/CRC Biostatistics Series)
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Bayesian Analysis with R for Drug Development (Chapman & Hall/CRC Biostatistics Series)
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Bayesian Analysis with R for Drug Development (Chapman & Hall/CRC Biostatistics Series)
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Bayesian Analysis with R for Drug Development (Chapman & Hall/CRC Biostatistics Series)
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ISBN 10: 1032177861 ISBN 13: 9781032177861
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Bayesian Analysis With R for Drug Development : Concepts, Algorithms, and Case Studies
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Bayesian Analysis with R for Drug Development (Chapman & Hall/CRC Biostatistics Series)
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Bayesian Analysis with R for Drug Development
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2021
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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.
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Bayesian Analysis With R for Drug Development : Concepts, Algorithms, and Case Studies
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Bayesian Analysis With R for Drug Development: Concepts, Algorithms, and Case Studies
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Aggiungi al carrelloPaperback. Condizione: Brand New. 310 pages. 9.18x6.12x0.74 inches. In Stock.
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Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies (Chapman & Hall/CRC Biostatistics Series)
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Bayesian Analysis With R for Drug Development: Concepts, Algorithms, and Case Studies
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Aggiungi al carrelloPaperback. Condizione: Brand New. 310 pages. 9.18x6.12x0.74 inches. In Stock.
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Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies (Chapman & Hall/CRC Biostatistics Series)
Lingua: Inglese
Editore: Chapman and Hall/CRC 2019-07-01, 2019
ISBN 10: 1138295876 ISBN 13: 9781138295872
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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 .
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Bayesian Analysis with R for Drug Development
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2021
ISBN 10: 1032177861 ISBN 13: 9781032177861
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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.
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Bayesian Analysis With R for Drug Development : Concepts, Algorithms, and Case Studies
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Bayesian Analysis With R for Drug Development : Concepts, Algorithms, and Case Studies
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Bayesian Analysis With R For Drug Development
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Bayesian Analysis With R for Drug Development : Concepts, Algorithms, and Case Studies
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Bayesian Analysis With R for Drug Development : Concepts, Algorithms, and Case Studies
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Bayesian Analysis With R For Drug Development
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Bayesian Analysis With R For Drug Development
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Aggiungi al carrelloGebunden. Condizione: 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 .
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Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies (Chapman & Hall/CRC Biostatistics Series)
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Bayesian Analysis with R for Drug Development (Chapman & Hall/CRC Biostatistics Series)
Lingua: Inglese
Editore: H N H International Limited, 2021
ISBN 10: 1032177861 ISBN 13: 9781032177861
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