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Nonclinical Statistics for Pharmaceutical and Biotechnology Industries

Nonclinical Statistics for Pharmaceutical and Biotechnology Industries PDF Author: Lanju Zhang
Publisher: Springer
ISBN: 3319235583
Category : Medical
Languages : en
Pages : 698

Book Description
This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. This text brings together for the first time in a single volume a comprehensive survey of methods important to the nonclinical science areas within the pharmaceutical and biotechnology industries. Specifically the Discovery and Translational sciences, the Safety/Toxiology sciences, and the Chemistry, Manufacturing and Controls sciences. Drug discovery and development is a long and costly process. Most decisions in the drug development process are made with incomplete information. The data is rife with uncertainties and hence risky by nature. This is therefore the purview of Statistics. As such, this book aims to introduce readers to important statistical thinking and its application in these nonclinical areas. The chapters provide as appropriate, a scientific background to the topic, relevant regulatory guidance, current statistical practice, and further research directions.

Nonclinical Statistics for Pharmaceutical and Biotechnology Industries

Nonclinical Statistics for Pharmaceutical and Biotechnology Industries PDF Author: Lanju Zhang
Publisher: Springer
ISBN: 3319235583
Category : Medical
Languages : en
Pages : 698

Book Description
This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. This text brings together for the first time in a single volume a comprehensive survey of methods important to the nonclinical science areas within the pharmaceutical and biotechnology industries. Specifically the Discovery and Translational sciences, the Safety/Toxiology sciences, and the Chemistry, Manufacturing and Controls sciences. Drug discovery and development is a long and costly process. Most decisions in the drug development process are made with incomplete information. The data is rife with uncertainties and hence risky by nature. This is therefore the purview of Statistics. As such, this book aims to introduce readers to important statistical thinking and its application in these nonclinical areas. The chapters provide as appropriate, a scientific background to the topic, relevant regulatory guidance, current statistical practice, and further research directions.

Statistics for Biotechnology Process Development

Statistics for Biotechnology Process Development PDF Author: Todd Coffey
Publisher: CRC Press
ISBN: 1498721419
Category : Mathematics
Languages : en
Pages : 358

Book Description
Written specifically for biotechnology scientists, engineers, and quality professionals, this book describes and demonstrates the proper application of statistical methods throughout Chemistry, Manufacturing, and Controls (CMC). Filled with case studies, examples, and easy-to-follow explanations of how to perform statistics in modern software, it is the first book on CMC statistics written primarily for practitioners. While statisticians will also benefit from this book, it is written particularly for industry professionals who don’t have access to a CMC statistician or who want to be more independent in the design and analysis of their experiments. Provides an introduction to the statistical concepts important in the biotechnology industry Focuses on concepts with theoretical details kept to a minimum Includes lots of real examples and case studies to illustrate the methods Uses JMP software for implementation of the methods Offers a text suitable for scientists in the industry with some quantitative training Written and edited by seasoned veterans of the biotechnology industry, this book will prove useful to a wide variety of biotechnology professionals. The book brings together individual chapters that showcase the use of statistics in the most salient areas of CMC.

Emerging Non-Clinical Biostatistics in Biopharmaceutical Development and Manufacturing

Emerging Non-Clinical Biostatistics in Biopharmaceutical Development and Manufacturing PDF Author: Harry Yang
Publisher: CRC Press
ISBN: 1315354454
Category : Mathematics
Languages : en
Pages : 278

Book Description
The premise of Quality by Design (QbD) is that the quality of the pharmaceutical product should be based upon a thorough understanding of both the product and the manufacturing process. This state-of-the-art book provides a single source of information on emerging statistical approaches to QbD and risk-based pharmaceutical development. A comprehensive resource, it combines in-depth explanations of advanced statistical methods with real-life case studies that illustrate practical applications of these methods in QbD implementation.

The Application of Statistical Process Control in the Pharmaceutical and Biotechnology Industries

The Application of Statistical Process Control in the Pharmaceutical and Biotechnology Industries PDF Author: Tom Cochrane
Publisher: Biohealthcare Pub
ISBN: 9781907568336
Category : Medical
Languages : en
Pages : 220

Book Description
This is a practical guide on how to apply statistical process control or SPC within the pharmaceutical industry. The book considers the various areas where SPC thinking can be applied and demonstrates the benefits that can be achieved by its use.

Encyclopedia of Biopharmaceutical Statistics, Second Edition

Encyclopedia of Biopharmaceutical Statistics, Second Edition PDF Author: Shein-Chung Chow
Publisher: CRC Press
ISBN: 9780824742614
Category : Mathematics
Languages : en
Pages : 1000

Book Description
The only encyclopedia that specifically focuses on biopharmaceutical statistics, the 3rd Edition provides a well-balanced summary of current regulatory requirements, along with a comprehensive and unified presentation of designs and analyses used at different stages of biopharmaceutical and clinical research and development. This is the definitive statistical guide for the entire pipeline of drug/pharmaceutical product development: from non-clinical and pre-clinical assessments and manufacturing processes through to clinical trials, regulatory processes and postmarketing surveillence. Thoroughly exploring emerging technologies, concepts, and trends, this edition incorporates 89 brand new chapters on subjects such as biomarker development, target clinical trials and follow-on biologics. Previous contents of this title have been revised and updated, and cover topics ranging from in vitro bioequivalence testing and dissolution profile comparison to bridging studies, MedDRA, vaccine clinical trials and medical devices. The encyclopedia also includes popular topics that are currently under discussion within regulatory agencies and the pharmaceutical/biotech industry, such as pharmacoeconomics, reproducibility and probability in clinical research. Available in hard copy and online formats, this highly specialised book is a must-have resource for pharmaceutical R&D departments as well as for statisticians and researchers who work on clinical trials regulated by the FDA.

Industrial Pharmaceutical Biotechnology

Industrial Pharmaceutical Biotechnology PDF Author: Heinrich Klefenz
Publisher: Wiley-VCH
ISBN:
Category : Medical
Languages : en
Pages : 328

Book Description
This volume focuses on pharmaceutical biotechnology as a key area of life sciences. The complete range of concepts, processes and technologies of biotechnology is applied in modern industrial pharmaceutical research, development and production. The results of genome sequencing and studies of biological-genetic function are combined with chemical, micro-electronic and microsystem technology to produce medical devices and diagnostic biochips. A multitude of biologically active molecules is expanded by additional novel structures created with newly arranged gene clusters and bio-catalytic chemical processes. New organisational structures in the co-operation of institutes, companies and networks enable faster knowledge and product development and immediate application of the results of research and process development. This book is the ideal source of information for scientists and engineers in research and development, for decision-makers in biotech, pharma and chemical corporations, as well as for research institutes, but also for founders of biotech companies and people working for venture capital corporations.

Pharmaceutical Biotechnology

Pharmaceutical Biotechnology PDF Author: Daan J. A. Crommelin
Publisher: CRC Press
ISBN: 9780415285018
Category : Medical
Languages : en
Pages : 456

Book Description
The field of pharmaceutical biotechnology is evolving rapidly. A whole new arsenal of protein pharmaceuticals is being produced by recombinant techniques for cancer, viral infections, cardiovascular and hereditary disorders, and other diseases. In addition, scientists are confronted with new technologies such as polymerase chain reactions, combinatorial chemistry and gene therapy. This introductory textbook provides extensive coverage of both the basic science and the applications of biotechnology-produced pharmaceuticals, with special emphasis on their clinical use. Pharmaceutical Biotechnology serves as a complete one-stop source for undergraduate pharmacists, and it is valuable for researchers and professionals in the pharmaceutical industry as well.

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

Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry PDF Author: Richard K. Burdick
Publisher: Springer
ISBN: 3319501860
Category : Medical
Languages : en
Pages : 379

Book Description
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.

Bayesian Methods in Pharmaceutical Research

Bayesian Methods in Pharmaceutical Research PDF Author: Emmanuel Lesaffre
Publisher: CRC Press
ISBN: 1351718665
Category : Medical
Languages : en
Pages : 561

Book Description
Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients. This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book covers: Theory, methods, applications, and computing Bayesian biostatistics for clinical innovative designs Adding value with Real World Evidence Opportunities for rare, orphan diseases, and pediatric development Applied Bayesian biostatistics in manufacturing Decision making and Portfolio management Regulatory perspective and public health policies Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research.

Case Studies in Bayesian Methods for Biopharmaceutical CMC

Case Studies in Bayesian Methods for Biopharmaceutical CMC PDF Author: Paul Faya
Publisher: CRC Press
ISBN: 1000824772
Category : Mathematics
Languages : en
Pages : 354

Book Description
The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (CMC) studies in the biopharmaceutical industry. The book has multiple authors from industry and academia, each contributing a case study (chapter). The collection of case studies covers a broad array of CMC topics, including stability analysis, analytical method development, specification setting, process development and optimization, process control, experimental design, dissolution testing, and comparability studies. The analysis of each case study includes a presentation of code and reproducible output. This book is written with an academic level aimed at practicing nonclinical biostatisticians, most of whom have graduate degrees in statistics. • First book of its kind focusing strictly on CMC Bayesian case studies • Case studies with code and output • Representation from several companies across the industry as well as academia • Authors are leading and well-known Bayesian statisticians in the CMC field • Accompanying website with code for reproducibility • Reflective of real-life industry applications/problems