Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry

Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry
Author :
Publisher : Springer
Total Pages : 383
Release :
ISBN-10 : 9783319501864
ISBN-13 : 3319501860
Rating : 4/5 (860 Downloads)

Book Synopsis Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry by : Richard K. Burdick

Download or read book Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry written by Richard K. Burdick and published by Springer. This book was released on 2017-02-14 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry. The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing. The mathematical level assumes an elementary understanding of statistical methods. The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader. The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors. One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995). We agreed that a more recent book would serve a need in our industry. Since we began this project, an edited book has been published on the same topic by Zhang (2016). The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development. We believe our book complements Zhang by providing more detailed statistical analyses and examples.


Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry Related Books

Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry
Language: en
Pages: 383
Authors: Richard K. Burdick
Categories: Medical
Type: BOOK - Published: 2017-02-14 - Publisher: Springer

DOWNLOAD EBOOK

This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are prese
Bayesian Methods in Pharmaceutical Research
Language: en
Pages: 547
Authors: Emmanuel Lesaffre
Categories: Medical
Type: BOOK - Published: 2020-04-15 - Publisher: CRC Press

DOWNLOAD EBOOK

Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the res
Case Studies in Bayesian Methods for Biopharmaceutical CMC
Language: en
Pages: 423
Authors: Paul Faya
Categories: Mathematics
Type: BOOK - Published: 2022-12-15 - Publisher: CRC Press

DOWNLOAD EBOOK

The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (CMC) studies in the biopharmaceutical industry. The book has mul
Statistics for Biotechnology Process Development
Language: en
Pages: 358
Authors: Todd Coffey
Categories: Mathematics
Type: BOOK - Published: 2018-05-16 - Publisher: CRC Press

DOWNLOAD EBOOK

Written specifically for biotechnology scientists, engineers, and quality professionals, this book describes and demonstrates the proper application of statisti
Specification of Drug Substances and Products
Language: en
Pages: 696
Authors: Christopher M. Riley
Categories: Science
Type: BOOK - Published: 2020-07-23 - Publisher: Elsevier

DOWNLOAD EBOOK

Specification of Drug Substances and Products: Development and Validation of Analytical Methods, Second Edition, presents a comprehensive and critical analysis