Quantitative Decisions in Drug Development, Chuang-Stein Christy, Kirby Simon
Автор: Michael Lynch and Bruce Walsh Название: Genetics and Analysis of Quantitative Traits ISBN: 0878934812 ISBN-13(EAN): 9780878934812 Издательство: Oxford Academ Рейтинг: Цена: 51728.00 р. Наличие на складе: Ожидается поступление.
Описание: Professors Lynch and Walsh bring together the diverse array of theoretical and empirical applications of quantitative genetics in a work that is up-to-date, comprehensive and accessible to anyone with a rudimentary understanding of statistics and genetics.
Описание: This unique text helps students and healthcare professionals master the fundamentals of pharmacokinetics and pharmacodynamics. Written by distinguished international experts, it provides readers with an introduction to the basic principles underlying the establishment and individualization of dosage regimens and their optimal use in drug therapy. Up-to-date examples featuring currently prescribed drugs illustrate how pharmacokinetics and pharmacodynamics relate to contemporary drug therapy. Study problems at the end of each chapter help students and professionals gain a firm grasp of the material covered within the text.
State-of-the-Art Methods for Drug Safety Assessment
Responding to the increased scrutiny of drug safety in recent years, Quantitative Evaluation of Safety in Drug Development: Design, Analysis and Reporting explains design, monitoring, analysis, and reporting issues for both clinical trials and observational studies in biopharmaceutical product development. It presents the latest statistical methods for drug safety assessment.
The book's three sections focus on study design, safety monitoring, and data evaluation/analysis. The book addresses key challenges across regulatory agencies, industry, and academia. It discusses quantitative approaches to safety evaluation and risk management in drug development, covering Bayesian methods, effective safety graphics, and risk-benefit evaluation.
Written by a team of experienced leaders, this book brings the most advanced knowledge and statistical methods of drug safety to the statistical, clinical, and safety community. It shares best practices and stimulates further research and methodology development in the drug safety area.
Описание: "This book discusses recent advancements in the field of QSARs with special reference to their application in drug development, predictive toxicology, and chemical risk analysis"--Provided by publisher.
Автор: Martin, Yvonne C. Название: Quantitative Drug Design ISBN: 0367384140 ISBN-13(EAN): 9780367384142 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Since the publication of the first edition, the field has changed dramatically. Scientists can now explicitly consider 3D features in quantitative structure-activity relationship (QSAR) studies and often have the 3D structure of the macromolecular target to guide the 3D QSAR. Improvements in computer hardware and software have also made the methods more accessible to scientists. Taking these developments into account, Quantitative Drug Design: A Critical Introduction, Second Edition shows scientists how to apply QSAR techniques at a state-of-the-art level.
New to the Second Edition
A new chapter on methods that identify the 3D conformations to use for 3D QSAR
New discussions on partial least squares, multidimensional scaling, clustering, support vector machines, kNN potency prediction, and recursive partitioning
Expanded case studies that include the results of data that has been re-analyzed using newer methods
A new case study on the discovery of novel dopaminergics with pharmacophore mapping and CoMFA
A new case study on the application of CoMFA to series in which the 3D structure of the ligand-protein complex is known
Based on the author's four decades of experience in all areas of ligand-based computer-assisted drug design, this invaluable book describes how to transform ligand structure-activity relationships into models that predict the potency or activity/inactivity of new molecules. It will help you avoid traps when dealing with quantitative drug design.
Автор: Cameletti, Michela. Название: Quantitative methods in environmental and climate research / ISBN: 3030015831 ISBN-13(EAN): 9783030015831 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone concentration, modelling atmospheric aerosol profiles, predicting wind speed, precipitation prediction and analysing spatial cylindrical data. The volume presents revised versions of selected contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment, which was held at the University of Bergamo, Italy. As it is chiefly intended for researchers working at the forefront of statistical research in environmental applications, readers should be familiar with the basic methods for analysing spatial and spatio-temporal data.
Описание: This book presents cutting-edge research on the use of physical and mathematical formalisms to model and quantitatively analyze biological phenomena ranging from microscopic to macroscopic systems.
Автор: Y. Zee Ma Название: Quantitative Geosciences ISBN: 3030178595 ISBN-13(EAN): 9783030178598 Издательство: Springer Рейтинг: Цена: 15245.00 р. Наличие на складе: Поставка под заказ.
Описание: As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making.
Описание: This book offers a comprehensive guide to the modelling of operational risk using possibility theory. The book offers a complete assessment of fuzzy methods for determining both value at risk (VaR) and subjective value at risk (SVaR), together with a stability estimation of VaR and SVaR.
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