Nonclinical Statistics For Pharmaceutical And Biotechnology Industries
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| Author | : Lanju Zhang |
| Publisher | : Springer |
| Total Pages | : 705 |
| Release | : 2016-01-13 |
| Genre | : Medical |
| ISBN | : 3319235583 |
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.
| Author | : Todd Coffey |
| Publisher | : CRC Press |
| Total Pages | : 358 |
| Release | : 2018-05-16 |
| Genre | : Mathematics |
| ISBN | : 1498721419 |
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.
| Author | : Steven P. Millard |
| Publisher | : Springer |
| Total Pages | : 515 |
| Release | : 2001-07-01 |
| Genre | : Medical |
| ISBN | : 0387988149 |
Providing a general guide to statistical methods used in the pharmaceutical industry, and illustrating how to use S-PLUS to implement these methods, the book explains why S-PLUS is a useful software package and discusses the results and implications of each particular application. It is targeted at graduates in biostatistics, statisticians involved in the industry as research scientists, regulators, academics, and/or consultants who want to know more about how to use S-PLUS and learn about other sub-fields within the industry, as well as statisticians in other fields who want to know more about statistical applications in the pharmaceutical industry.
| Author | : Harry Yang |
| Publisher | : CRC Press |
| Total Pages | : 278 |
| Release | : 2016-11-30 |
| Genre | : Mathematics |
| ISBN | : 1315354454 |
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.
| Author | : Richard Kay |
| Publisher | : John Wiley & Sons |
| Total Pages | : 436 |
| Release | : 2022-11-29 |
| Genre | : Medical |
| ISBN | : 1119867401 |
STATISTICAL THINKING FOR NON-STATISTICIANS IN DRUG REGULATION Statistical methods in the pharmaceutical industry are accepted as a key element in the design and analysis of clinical studies. Increasingly, the medical and scientific community are aligning with the regulatory authorities and recognizing that correct statistical methodology is essential as the basis for valid conclusions. In order for those correct and robust methods to be successfully employed there needs to be effective communication across disciplines at all stages of the planning, conducting, analyzing and reporting of clinical studies associated with the development and evaluation of new drugs and devices. Statistical Thinking for Non-Statisticians in Drug Regulation provides a comprehensive in-depth guide to statistical methodology for pharmaceutical industry professionals, including physicians, investigators, medical science liaisons, clinical research scientists, medical writers, regulatory personnel, statistical programmers, senior data managers and those working in pharmacovigilance. The author’s years of experience and up-to-date familiarity with pharmaceutical regulations and statistical practice within the wider clinical community make this an essential guide for the those working in and with the industry. The third edition of Statistical Thinking for Non-Statisticians in Drug Regulation includes: A detailed new chapter on Estimands in line with the 2019 Addendum to ICH E9 Major new sections on topics including Combining Hierarchical Testing and Alpha Adjustment, Biosimilars, Restricted Mean Survival Time, Composite Endpoints and Cumulative Incidence Functions, Adjusting for Cross-Over in Oncology, Inverse Propensity Score Weighting, and Network Meta-Analysis Updated coverage of many existing topics to reflect new and revised guidance from regulatory authorities and author experience Statistical Thinking for Non-Statisticians in Drug Regulation is a valuable guide for pharmaceutical and medical device industry professionals, as well as statisticians joining the pharmaceutical industry and students and teachers of drug development.
| Author | : Richard K. Burdick |
| Publisher | : Springer |
| Total Pages | : 383 |
| Release | : 2017-02-14 |
| Genre | : Medical |
| ISBN | : 3319501860 |
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.
| Author | : Todd A. Durham |
| Publisher | : |
| Total Pages | : 226 |
| Release | : 2008-01-01 |
| Genre | : Mathematics |
| ISBN | : 9780853697145 |
All students of pharmaceutical sciences and clinical research need a solid knowledge and understanding of the nature, methods, application, and importance of statistics. Introduction to Statistics in Pharmaceutical Clinical Trials is an ideal introduction to statistics presented in the context of clinical trials conducted during pharmaceutical drug development. This novel approach both teaches the computational steps needed to conduct analyses and provides a conceptual understanding of how these analyses provide information that forms the rational basis for decision making throughout the drug development process.
| Author | : Shein-Chung Chow |
| Publisher | : CRC Press |
| Total Pages | : 1000 |
| Release | : 2003-06-04 |
| Genre | : Mathematics |
| ISBN | : 9780824742614 |
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.
| Author | : Charles Ralph Buncher |
| Publisher | : CRC Press |
| Total Pages | : 606 |
| Release | : 1993-11-17 |
| Genre | : Mathematics |
| ISBN | : 9780824790738 |
This rewritten and updated second edition provides comprehensive information on the wide-ranging applications of statistics in the pharmacological field. Focusing on practical aspects, it sets out to bridge the gap between industry and academia.;Reflecting the changes that have taken place since publication of the first edition, this volume covers new topics such as: cancer clinical trials, clinical trials of AIDS patients and animal tumorigenicity studies; the development of antiepileptic drugs; the role of epidemiology in postmarketing trials and adverse drug experience; computer-assisted new drug application (CANDA) submissions; contract research organizations; interim analysis in clinical trials; and room-temperature tests for the stability of drugs.;This work is intended as: a reference for statisticians, biostatisticians, pharmacologists, administrators, managers, and scientists in the pharmaceutical industry; and a text for graduate students taking courses in applied statistics or pharmaceutical statistics.
| Author | : Ray Liu |
| Publisher | : |
| Total Pages | : 337 |
| Release | : 2019 |
| Genre | : Mathematical statistics |
| ISBN | : 9783319673875 |
This book presents the proceedings of the 39th annual Midwest Biopharmaceutical Statistics Workshop (MBSW), held in Muncie, Indiana on May 16-18, 2016. It consists of selected peer- reviewed and revised papers on topics ranging from statistical applications in drug discovery and CMC to biomarkers, clinical trials, and statistical programming. All contributions feature original research, and together they cover the full spectrum of pharmaceutical R & D - with a special focus on emergent topics such as biosimilarity, bioequivalence, clinical trial design, and subgroup identification. Founded in 1978, the MBSW has provided a forum for statisticians to share knowledge, research, and applications on key statistical topics in pharmaceutical R & D for almost forty years, with the 2016 conference theme being "The Power and 3 I's of Statistics: Innovation, Impact and Integrity." The papers gathered here will be of interest to all researchers whose work involves the quantitative aspects of pharmaceutical research and development, including pharmaceutical statisticians who want to keep up-to-date with the latest trends, as well as academic statistics researchers looking for areas of application.
