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Nonclinical Statistics For Pharmaceutical And Biotechnology Industries

Author: Lanju Zhang
Publisher: Springer
ISBN: 3319235583
Size: 64.56 MB
Format: PDF
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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.

Statistical Applications For Chemistry Manufacturing And Controls Cmc In The Pharmaceutical Industry

Author: Richard K. Burdick
Publisher: Springer
ISBN: 3319501860
Size: 48.22 MB
Format: PDF, ePub, Docs
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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 Design And Analysis Of Stability Studies

Author: Shein-Chung Chow
Publisher: CRC Press
ISBN: 9781584889069
Size: 54.43 MB
Format: PDF, Docs
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The US Food and Drug Administration's Report to the Nation in 2004 and 2005 indicated that one of the top reasons for drug recall was that stability data did not support existing expiration dates. Pharmaceutical companies conduct stability studies to characterize the degradation of drug products and to estimate drug shelf life. Illustrating how stability studies play an important role in drug safety and quality assurance, Statistical Design and Analysis of Stability Studies presents the principles and methodologies in the design and analysis of stability studies. After introducing the basic concepts of stability testing, the book focuses on short-term stability studies and reviews several methods for estimating drug expiration dating periods. It then compares some commonly employed study designs and discusses both fixed and random batch statistical analyses. Following a chapter on the statistical methods for stability analysis under a linear mixed effects model, the book examines stability analyses with discrete responses, multiple components, and frozen drug products. In addition, the author provides statistical methods for dissolution testing and explores current issues and recent developments in stability studies. To ensure the safety of consumers, professionals in the field must carry out stability studies to determine the reliability of drug products during their expiration period. This book provides the material necessary for you to perform stability designs and analyses in pharmaceutical research and development.

Emerging Non Clinical Biostatistics In Biopharmaceutical Development And Manufacturing

Author: Harry Yang
Publisher: CRC Press
ISBN: 1498704166
Size: 27.64 MB
Format: PDF, ePub, Docs
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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.

Drug And Biological Development

Author: Ronald Evens
Publisher: Springer Science & Business Media
ISBN: 0387329781
Size: 32.69 MB
Format: PDF, ePub, Docs
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The book is a complete discussion of product development in the pharmaceutical and biotechnology industries from discovery, to product launch, and through life cycle management. Format is optimized for education and training of health care professionals, especially fellows in training (MD, PharmD, PhD), at universities. Format of the book is a set of figures, tables and lists, that can become power-point style slides as well, and the detailed narrative descriptions, including real-life examples, illustrations, controversies in industry, and references. Industry and research experts (multidisciplinary ' MD, PharmD, and PhD) are editors and authors. An added CD-ROM (slides only) enhances utility and marketability of book to course directors, providing the highly sought after slides for lectures.

Systems Biology In Drug Discovery And Development

Author: Daniel L. Young
Publisher: John Wiley & Sons
ISBN: 0470261234
Size: 18.80 MB
Format: PDF, Kindle
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The first book to focus on comprehensive systems biology as applied to drug discovery and development Drawing on real-life examples, Systems Biology in Drug Discovery and Development presents practical applications of systems biology to the multiple phases of drug discovery and development. This book explains how the integration of knowledge from multiple sources, and the models that best represent that integration, inform the drug research processes that are most relevant to the pharmaceutical and biotechnology industries. The first book to focus on comprehensive systems biology and its applications in drug discovery and development, it offers comprehensive and multidisciplinary coverage of all phases of discovery and design, including target identification and validation, lead identification and optimization, and clinical trial design and execution, as well as the complementary systems approaches that make these processes more efficient. It also provides models for applying systems biology to pharmacokinetics, pharmacodynamics, and candidate biomarker identification. Introducing and explaining key methods and technical approaches to the use of comprehensive systems biology on drug development, the book addresses the challenges currently facing the pharmaceutical industry. As a result, it is essential reading for pharmaceutical and biotech scientists, pharmacologists, computational modelers, bioinformaticians, and graduate students in systems biology, pharmaceutical science, and other related fields.

Applied Predictive Modeling

Author: Max Kuhn
Publisher: Springer Science & Business Media
ISBN: 1461468493
Size: 22.32 MB
Format: PDF, Mobi
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Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

Fundamentals Of Biologicals Regulation

Author: Rebecca Sheets
Publisher: Academic Press
ISBN: 0128094435
Size: 61.18 MB
Format: PDF, Kindle
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Fundamentals of Biologicals Regulation: Vaccines and Biotechnology Medicines serves as an introduction to the international regulatory arena in which biologicals are developed and offers an overview of the processes and insight into the scientific concepts underpinning global regulations. This book will provide multiple levels of readership with guidance on basic concepts, a detailed look at regulatory challenges, and practical insight into how regulators consider regulatory science and regulatory process issues across various regions. With numerous case studies, learning activities, and real-world examples across several classes of biotechnological products, this book is a valuable and comprehensive resource for graduate students, professors, regulatory officials, and industry scientists working with biologicals. Provides a broad overview and introduction to the regulatory processes, from product development pathways, through clinical trials and product development stages and beyond Includes FDA, EMA, ICH, and WHO recommendations and guidelines so readers can compare and contrast the different regulatory regions with their expectations and understand why they are different Contains chapters on some of the exceptions to the process including how biosimilars and in vitro diagnostics are regulated Includes numerous case studies, learning activities, and real-world examples across several classes of biotechnological products

The Nonhuman Primate In Nonclinical Drug Development And Safety Assessment

Author: Joerg Bluemel
Publisher: Academic Press
ISBN: 012417146X
Size: 70.83 MB
Format: PDF, Kindle
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The Nonhuman Primate in Drug Development and Safety Assessment is a valuable reference dedicated to compiling the latest research on nonhuman primate models in nonclinical safety assessment, regulatory toxicity testing and translational science. By covering important topics such as study planning and conduct, inter-species genetic drift, pathophysiology, animal welfare legislation, safety assessment of biologics and small molecules, immunotoxicology and much more, this book provides scientific and technical insights to help you safely and successfully use nonhuman primates in pharmaceutical toxicity testing. A comprehensive yet practical guide, this book is intended for new researchers or practicing toxicologists, toxicologic pathologists and pharmaceutical scientists working with nonhuman primates, as well as graduate students preparing for careers in this area. Covers important topics such as species selection, study design, experimental methodologies, animal welfare and the 3Rs (Replace, Refine and Reduce), social housing, regulatory guidelines, comparative physiology, reproductive biology, genetic polymorphisms and more Includes practical examples on techniques and methods to guide your daily practice Offers a companion website with high-quality color illustrations, reference values for safety assessment and additional practical information such as study design considerations, techniques and procedures and dosing and sampling volumes