Quantitative Methods In Pharmaceutical Research And Development
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Quantitative Methods In Pharmaceutical Research And Development
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Author : Olga V. Marchenko
language : en
Publisher: Springer Nature
Release Date : 2020-09-24
Quantitative Methods In Pharmaceutical Research And Development written by Olga V. Marchenko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-24 with Medical categories.
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.
Drug Design Strategies
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Author : David J. Livingstone
language : en
Publisher: Royal Society of Chemistry
Release Date : 2012
Drug Design Strategies written by David J. Livingstone and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Medical categories.
This book brings together drug design practitioners, all leaders in their field, who are actively advancing the field of quantitative methods to guide drug discovery, from structure-based design to empirical statistical models - from rule-based approaches to toxicology to the fields of bioinformatics and systems biology. The aim of the book is to show how various facets of the drug discovery process can be addressed in a quantitative fashion (ie: numerical analysis to enable robust predictions to be made). Each chapter includes a brief review of the topic showing the historical development of.
Statistical Development Of Quality In Medicine
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Author : Per Winkel
language : en
Publisher: John Wiley & Sons
Release Date : 2007-06-13
Statistical Development Of Quality In Medicine written by Per Winkel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-13 with Mathematics categories.
The promotion of standards and guidelines to advance quality assurance and control is an integral part of the health care sector. Quantitative methods are needed to monitor, control and improve the quality of medical processes. Statistical Development of Quality in Medicine presents the statistical concepts behind the application of industrial quality control methods. Filled with numerous case studies and worked examples, the text enables the reader to choose the relevant control chart, to critically apply it, improve it if necessary, and monitor its stability. Furthermore, the reader is provided with the necessary background to critically assess the literature on the application of control charts and risk adjustment and to apply the findings. Contains a user-friendly introduction, setting out the necessary statistical concepts used in the field. Uses numerous real-life case studies from the literature and the authors’ own research as the backbone of the text. Provides a supplementary website featuring problems and answers drawn from the book, alongside examples in Statgraphics. The accessible style of Statistical Development of in Clinical Medicine invites a large readership. It is primarily aimed at health care officials, and personnel responsible for developing and controlling the quality of health care services. However, it is also ideal for statisticians working with health care problems, diagnostic and pharmaceutical companies, and graduate students of quality control.
Quantitative Methods For Traditional Chinese Medicine Development
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Author : Shein-Chung Chow
language : en
Publisher: CRC Press
Release Date : 2015-12-01
Quantitative Methods For Traditional Chinese Medicine Development written by Shein-Chung Chow and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-01 with Health & Fitness categories.
A Western-Based Approach to Analyzing TCMs In recent years, many pharmaceutical companies and clinical research organizations have been focusing on the development of traditional Chinese (herbal) medicines (TCMs) as alternatives to treating critical or life-threatening diseases and as pathways to personalized medicine. Quantitative Methods for Traditional Chinese Medicine Development is the first book entirely devoted to the design and analysis of TCM development from a Western perspective, i.e., evidence-based clinical research and development. The book provides not only a comprehensive summary of innovative quantitative methods for developing TCMs but also a useful desk reference for principal investigators involved in personalized medicine. Written by one of the world’s most prominent biostatistics researchers, the book connects the pharmaceutical industry, regulatory agencies, and academia. It presents a state-of-the-art examination of the subject for: Scientists and researchers who are engaged in pharmaceutical/clinical research and development of TCMs Those in regulatory agencies who make decisions in the review and approval process of TCM regulatory submissions Biostatisticians who provide statistical support to assess clinical safety and effectiveness of TCMs and related issues regarding quality control and assurance as well as to test for consistency in the manufacturing processes for TCMs This book covers all of the statistical issues encountered at various stages of pharmaceutical/clinical development of a TCM. It explains regulatory requirements; product specifications and standards; and various statistical techniques for evaluation of TCMs, validation of diagnostic procedures, and testing consistency. It also contains an entire chapter of case studies and addresses critical issues in TCM development and FAQs from a regulatory perspective.
Statistical Methods For Pharmaceutical Research Planning
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Author : S. W. Bergman
language : en
Publisher: CRC Press
Release Date : 2020-10-29
Statistical Methods For Pharmaceutical Research Planning written by S. W. Bergman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-29 with Mathematics categories.
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.
Bayesian Methods In Pharmaceutical Research
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Author : Emmanuel Lesaffre
language : en
Publisher: CRC Press
Release Date : 2020-04-15
Bayesian Methods In Pharmaceutical Research written by Emmanuel Lesaffre and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-15 with Medical categories.
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.
Comparative Analysis And Benchmarking
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Author : Hung-hsin Chen
language : en
Publisher: Universal-Publishers
Release Date : 2003
Comparative Analysis And Benchmarking written by Hung-hsin Chen and has been published by Universal-Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.
This research of corporate strategy analysis implements comparative analysis and benchmarking to analyse and examine the corporate strategy of the pharmaceutical sectors of 4 international pharmaceutical companies. This research adopts the hybrid approach of combining qualitative and quantitative methods in a two stages research design. Quantitative method is applied first to deal with the comparative figures, and then qualitative method is used to find out the problem. The design of this multiple research includes three phases: data collection, analysis, and reporting. The findings of this research can be divided into 4 parts: R&D/marketing, technology alliances, strategic acquisitions and merger, and manufacturing. The drug innovative projects are recommended being developed within the company's familiar therapeutic areas in order to take its marketing advantage. Through this comparative analysis, some of this type of problems of these international pharmaceutical companies is identified. A big pharmaceutical company forming alliances with some small biotechnology companies has become a trend within pharmaceutical industry since 1980s. For pharmaceutical companies, to take advantage of R&D through biotechnology is the main purpose of alliances with small biotechnology companies. It is important to note that most pharmaceutical acquisitions belong to the type of absorption with high resource transferring and low autonomy. Due to the high profit margin and the essential importance of R&D and marketing, the operation management of manufacturing of pharmaceutical industry is relatively poor. The low asset utilisation rate pointed out this problem. Academic researches have revealed that existing theories of operation management of manufacturing, such as action research, set-up reduction, teamwork, continuous improvement, collaboration, and involvement, are applicable and beneficial to pharmaceutical industry rather than waiting for the technology breakthroughs.
Research Methods In Pharmacy Practice
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Author : Zubin Austin
language : en
Publisher: Elsevier Health Sciences
Release Date : 2018-02-21
Research Methods In Pharmacy Practice written by Zubin Austin and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-21 with Medical categories.
This is a comprehensive guide to applying research methods to practice problems. It uses case-based examples and activities rooted in practice to support development of knowledge, skills, and confidence in applying evidence-based research methods. An array of different methodologies and qualitative/quantitative methods are described. Examples of topics include distinction between methodologies and methods, ethics protocols, as well as design/implementation/data analysis/interpretation of findings using methods such as surveys, interviews, focus groups, observational research, database mining, text and document analysis, quality improvement (PDSA cycles), economic (cost/benefit) evaluations. Perfect for MPharm students doing their research thesis, but relevant to all bioscience students undertaking research projects. Use of pharmacy practice case examples (in community, hospital, ambulatory, primary care and other settings) throughout. Examples of how to tackle a research question from different perspectives, e.g. which is the best way to answer each question and why. Inter-professional practice and research emphasized. Self-assessment and self-reflection questions to help readers confirm their understanding/learning. A one-stop research-method teaching resource for faculty.
Statistical Methods For Pharmaceutical Research Planning
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Author : S. W. Bergman
language : en
Publisher: CRC Press
Release Date : 2020-10-28
Statistical Methods For Pharmaceutical Research Planning written by S. W. Bergman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-28 with Mathematics categories.
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.
Statistical Methods In Biomarker And Early Clinical Development
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Author : Liang Fang
language : en
Publisher: Springer Nature
Release Date : 2019-12-26
Statistical Methods In Biomarker And Early Clinical Development written by Liang Fang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-26 with Medical categories.
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.