Statistical Methods For Pharmaceutical Research Planning PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Statistical Methods For Pharmaceutical Research Planning PDF full book. Access full book title Statistical Methods For Pharmaceutical Research Planning.
Author | : S. W. Bergman |
Publisher | : CRC Press |
Total Pages | : 273 |
Release | : 2020-10-29 |
Genre | : Mathematics |
ISBN | : 1000148734 |
Download Statistical Methods for Pharmaceutical Research Planning Book in PDF, ePub and Kindle
This book focuses on statistical methods which impinge more or less directly on the decisions that are made during the course of pharmaceutical and agro-chemical research, considering the four decision-making areas.
Author | : D. A. Berry |
Publisher | : CRC Press |
Total Pages | : 592 |
Release | : 2016-04-19 |
Genre | : Mathematics |
ISBN | : 1482276860 |
Download Statistical Methodology in the Pharmaceutical Sciences Book in PDF, ePub and Kindle
A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data analysis, cate
Author | : Steven P. Millard |
Publisher | : Springer Science & Business Media |
Total Pages | : 518 |
Release | : 2013-11-09 |
Genre | : Medical |
ISBN | : 1475734662 |
Download Applied Statistics in the Pharmaceutical Industry Book in PDF, ePub and Kindle
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 | : Liang Fang |
Publisher | : Springer Nature |
Total Pages | : 354 |
Release | : 2019-12-26 |
Genre | : Medical |
ISBN | : 3030315037 |
Download Statistical Methods in Biomarker and Early Clinical Development Book in PDF, ePub and Kindle
This contributed volume offers a much-needed overview of the statistical methods in early clinical drug and biomarker development. Chapters are written by expert statisticians with extensive experience in the pharmaceutical industry and regulatory agencies. Because of this, the data presented is often accompanied by real world case studies, which will help make examples more tangible for readers. The many applications of statistics in drug development are covered in detail, making this volume a must-have reference. Biomarker development and early clinical development are the two critical areas on which the book focuses. By having the two sections of the book dedicated to each of these topics, readers will have a more complete understanding of how applying statistical methods to early drug development can help identify the right drug for the right patient at the right dose. Also presented are exciting applications of machine learning and statistical modeling, along with innovative methods and state-of-the-art advances, making this a timely and practical resource. This volume is ideal for statisticians, researchers, and professionals interested in pharmaceutical research and development. Readers should be familiar with the fundamentals of statistics and clinical trials.
Author | : Todd A. Durham |
Publisher | : |
Total Pages | : 226 |
Release | : 2008-01-01 |
Genre | : Mathematics |
ISBN | : 9780853697145 |
Download Introduction to Statistics in Pharmaceutical Clinical Trials Book in PDF, ePub and Kindle
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 | : William M. Wooding |
Publisher | : Wiley-Interscience |
Total Pages | : 568 |
Release | : 1994 |
Genre | : Mathematics |
ISBN | : |
Download Planning Pharmaceutical Clinical Trials Book in PDF, ePub and Kindle
Imparts a working understanding of the statistical principles and procedures essential to conducting successful clinical studies. Features a detailed catalog of experimental designs most commonly used in clinical work. Includes two chapters on elementary applied statistics and one on sample size estimation (the number of patients required).
Author | : Shein-Chung Chow |
Publisher | : CRC Press |
Total Pages | : 581 |
Release | : 2018-10-03 |
Genre | : Mathematics |
ISBN | : 1482273136 |
Download Statistical Design and Analysis in Pharmaceutical Science Book in PDF, ePub and Kindle
"Offers a comprehensive, unified presentation of statistical designs and methods of analysis for all stages of pharmaceutical development--emphasizing biopharmaceutical applications and demonstrating statistical techniques with real-world examples."
Author | : Mark Chang |
Publisher | : CRC Press |
Total Pages | : 362 |
Release | : 2019-03-20 |
Genre | : Mathematics |
ISBN | : 1351214535 |
Download Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials Book in PDF, ePub and Kindle
"This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug development.... Chang et al provide applications to industry-supported trials. This will allow statisticians in the industry community to take these methods seriously." Jay Herson, Johns Hopkins University The pharmaceutical industry's approach to drug discovery and development has rapidly transformed in the last decade from the more traditional Research and Development (R & D) approach to a more innovative approach in which strategies are employed to compress and optimize the clinical development plan and associated timelines. However, these strategies are generally being considered on an individual trial basis and not as part of a fully integrated overall development program. Such optimization at the trial level is somewhat near-sighted and does not ensure cost, time, or development efficiency of the overall program. This book seeks to address this imbalance by establishing a statistical framework for overall/global clinical development optimization and providing tactics and techniques to support such optimization, including clinical trial simulations. Provides a statistical framework for achieve global optimization in each phase of the drug development process. Describes specific techniques to support optimization including adaptive designs, precision medicine, survival-endpoints, dose finding and multiple testing. Gives practical approaches to handling missing data in clinical trials using SAS. Looks at key controversial issues from both a clinical and statistical perspective. Presents a generous number of case studies from multiple therapeutic areas that help motivate and illustrate the statistical methods introduced in the book. Puts great emphasis on software implementation of the statistical methods with multiple examples of software code (both SAS and R). It is important for statisticians to possess a deep knowledge of the drug development process beyond statistical considerations. For these reasons, this book incorporates both statistical and "clinical/medical" perspectives.
Author | : C. Ralph Buncher |
Publisher | : CRC Press |
Total Pages | : 497 |
Release | : 2019-03-07 |
Genre | : Mathematics |
ISBN | : 142005645X |
Download Statistics In the Pharmaceutical Industry Book in PDF, ePub and Kindle
The growth of the pharmaceutical industry over the past decade is astounding, but the impact of this growth on statistics is somewhat confusing. While software has made analysis easier and more efficient, regulatory bodies now demand deeper and more complex analyses, and pharmacogenetic/genomic studies serve up an entirely new set of challenges. For more than two decades, Statistics in the Pharmaceutical Industry has been the definitive guide to sorting through the challenges in the industry, and this Third Edition continues that tradition. Updated and expanded to reflect the most recent trends and developments in the field, Statistics in the Pharmaceutical Industry, Third Edition presents chapters written by experts from both regulatory agencies and pharmaceutical companies who discuss everything from experimental design to post-marketing studies. This approach sheds light on what regulators consider acceptable methodologies and what methods have proven successful for industrial statisticians. Both new and revised chapters reflect the increasingly global nature of the industry as represented by authors from Japan and Europe, the increasing trend toward non-inferiority/equivalence testing, adaptive design in clinical trials, global harmonization of regulatory standards, and multiple comparison studies. The book also examines the latest considerations in anti-cancer studies. Statistics in the Pharmaceutical Industry, Third Edition demystifies the approval process by combining regulatory and industrial points of view, making it a must-read for anyone performing statistical analysis at any point in the drug approval process.
Author | : Olga V. Marchenko |
Publisher | : Springer Nature |
Total Pages | : 445 |
Release | : 2020-09-24 |
Genre | : Medical |
ISBN | : 3030485552 |
Download Quantitative Methods in Pharmaceutical Research and Development Book in PDF, ePub and Kindle
This contributed volume presents an overview of concepts, methods, and applications used in several quantitative areas of drug research, development, and marketing. Chapters bring together the theories and applications of various disciplines, allowing readers to learn more about quantitative fields, and to better recognize the differences between them. Because it provides a thorough overview, this will serve as a self-contained resource for readers interested in the pharmaceutical industry, and the quantitative methods that serve as its foundation. Specific disciplines covered include: Biostatistics Pharmacometrics Genomics Bioinformatics Pharmacoepidemiology Commercial analytics Operational analytics Quantitative Methods in Pharmaceutical Research and Development is ideal for undergraduate students interested in learning about real-world applications of quantitative methods, and the potential career options open to them. It will also be of interest to experts working in these areas.