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Clinical Trial Optimization Using R, Alex Dmitrienko, Erik Pulkstenis


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Цена: 7501.00р.
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Автор: Alex Dmitrienko, Erik Pulkstenis
Название:  Clinical Trial Optimization Using R
ISBN: 9780367261252
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367261251
Обложка/Формат: Paperback
Страницы: 337
Вес: 0.63 кг.
Дата издания: 19.05.2019
Серия: Chapman & hall/crc biostatistics series
Язык: English
Иллюстрации: 100 illustrations, black and white
Размер: 234 x 156 x 18
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Clinical trials, MATHEMATICS / Probability & Statistics / General,MEDICAL / Biostatistics,MEDICAL / Pharmacology
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Поставляется из: Европейский союз
Описание: The book defines a unified framework for clinical trial optimization based on a comprehensive quantitative evaluation of relevant clinical scenarios (using the clinical scenario evaluation approach) and introduce best practices for simulationbased optimization.


Davidson`s Self-assessment in Medicine, International Edition

Автор: Wake D.
Название: Davidson`s Self-assessment in Medicine, International Edition
ISBN: 0702071455 ISBN-13(EAN): 9780702071454
Издательство: Elsevier Science
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Цена: 2357.00 р.
Наличие на складе: Есть (1 шт.)
Описание:

Davidson's Assessment in Medicine is a collection of 1250 best-of-five multiple choice questions, arranged to correspond with the chapters of the Twenty-third Edition of Davidson's Principles and Practice. The questions follow the style used in many international undergraduate and early postgraduate exams. For each question the answers are accompanied by a short piece of remediation/ feedback with references back to the main textbook for further information.

This book is an excellent broad assessment text and forms a highly useful complement to the main textbook.

It will help students increase the efficiency with which they acquire the factual knowledge necessary for both passing examinations and good medical practice. Although written to accompany Davidson's Principles and Practice of Medicine, this book can be used alongside any clinical medicine textbook.



Transporters in Drug Development

Автор: Yuichi Sugiyama; Bente Steffansen
Название: Transporters in Drug Development
ISBN: 1461482283 ISBN-13(EAN): 9781461482284
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Transporters in Drug Development examines how membrane transporters can be dealt with in academic-industrial drug discovery and pharmaceutical development as well as from a regulatory perspective.

Transporters in Drug Development

Автор: Yuichi Sugiyama; Bente Steffansen
Название: Transporters in Drug Development
ISBN: 1493952064 ISBN-13(EAN): 9781493952069
Издательство: Springer
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Цена: 19589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Transporters in Drug Development is a corner stone in a high profile book series on advances in pharmaceutical sciences initiated by AAPS, Springer and Professor Daan Crommelin as series Editor. Transporters in Drug Development: Discovery, Optimization, Clinical Study and Regulation list chapters written by leading researchers in the transporter field from academia, pharmaceutical industry and medicines agencies. The book encompasses examples and advises on how membrane transporters can be dealt with in academic industrial drug discovery and pharmaceutical development as well as from a regulatory perspective. Methods and examples of in vitro characterization of single transporters in intestine, liver and kidney are described as well as characterization of substrate overlap between various transporters. Furthermore, probes and biomarkers are suggested for studies of the transporters impact on the pharmacokinetics of drug substrates/candidates interacting on transporters. The challenges of translating in vitro observed interaction of transporters into in vivo relevance are discussed as well as the perspectives of applying targeted proteomics and mechanistic modelling in this process.

Treatise on Controlled Drug Delivery

Название: Treatise on Controlled Drug Delivery
ISBN: 0367402939 ISBN-13(EAN): 9780367402938
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: An introductory but detailed treatise which includes some 1,000 references and solved examples and end-of-chapter problems, making it useful to both students and practitioners. The pharmokinetics, pharmacodynamics, and biological and biopharmaceutical parameters pertinent to each route of administra

Health Economic Evaluation For Canc

Автор: Khan
Название: Health Economic Evaluation For Canc
ISBN: 1498761305 ISBN-13(EAN): 9781498761307
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание: The first book on the design and analysis of not only clinical trials but also how observational non-interventional data using clinical data is applied to economic evaluation and re-imbursement in the context of Cancer. This book is a non technical exposition of economic evaluation and no knowledge of advanced statistical methods is assumed.

Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability

Автор: Karim Samsul Ariffin Abdul, Kadir Evizal Abdul, Nasution Arbi Haza
Название: Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability
ISBN: 9811526540 ISBN-13(EAN): 9789811526541
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book explores key examples concerning the implementation of information technology and mathematical modeling to solve issues concerning environmental sustainability. The examples include using fuzzy weighted multivariate regression to predict the water quality index at Perak River in Malaysia;

Medical Statistics at a Glance, 4rd Edition

Автор: Aviva Petrie, Caroline Sabin.
Название: Medical Statistics at a Glance, 4rd Edition
ISBN: 1119167817 ISBN-13(EAN): 9781119167815
Издательство: Wiley
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Цена: 5219.00 р.
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Описание: Medical Statistics at a Glance provides a concise and accessible introduction and revision aid for undergraduate medical students and anyone wanting a straightforward introduction to this complex subject. Following the familiar, easy-to-use at a Glance format, each topic is presented as a double-page spread with key facts accompanied by clear, informative tables, formulae and graphs.


This new edition of Medical Statistics at a Glance:



  • Contains a second colour throughout to enhance the visual appeal, making the subject even easier to understand
  • Features worked examples on each topic, with emphasis on computer analysis of data rather than hand calculations
  • Includes new topics on Rates and Poisson regression, Generalised linear models, Explanatory variables in statistical models and Regression models for clustered data.
  • Has an accompanying website http: //www.medstatsaag.com/containing supplementary material including multiple choice questions (MCQs) with annotated answers for self-assessment


Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines.

Reviews of the last edition


"All medical professionals will come across statistics in their daily work and so a proper understanding of these concepts is invaluable. This is brought to you in this easily comprehensible succinct textbook.


.I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book."

4th Year Medical Student. Barts and the London Chronicle, Spring 2003,
vol.5, issue 1


Statistical Inference Via Convex Optimization

Автор: Juditsky Anatoli, Nemirovski Arkadi
Название: Statistical Inference Via Convex Optimization
ISBN: 0691197296 ISBN-13(EAN): 9780691197296
Издательство: Wiley
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Цена: 13939.00 р.
Наличие на складе: Поставка под заказ.

Описание:

This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an accessible analysis of fundamental problems of hypothesis testing and signal recovery, Anatoli Juditsky and Arkadi Nemirovski show how convex optimization theory can be used to devise and analyze near-optimal statistical inferences.

Statistical Inference via Convex Optimization is an essential resource for optimization specialists who are new to statistics and its applications, and for data scientists who want to improve their optimization methods. Juditsky and Nemirovski provide the first systematic treatment of the statistical techniques that have arisen from advances in the theory of optimization. They focus on four well-known statistical problems--sparse recovery, hypothesis testing, and recovery from indirect observations of both signals and functions of signals--demonstrating how they can be solved more efficiently as convex optimization problems. The emphasis throughout is on achieving the best possible statistical performance. The construction of inference routines and the quantification of their statistical performance are given by efficient computation rather than by analytical derivation typical of more conventional statistical approaches. In addition to being computation-friendly, the methods described in this book enable practitioners to handle numerous situations too difficult for closed analytical form analysis, such as composite hypothesis testing and signal recovery in inverse problems.

Statistical Inference via Convex Optimization features exercises with solutions along with extensive appendixes, making it ideal for use as a graduate text.

Sparse Solutions of Underdetermined Linear Systems

Автор: Ming-Jun Lai, Yang Wang
Название: Sparse Solutions of Underdetermined Linear Systems
ISBN: 1611976502 ISBN-13(EAN): 9781611976502
Издательство: Mare Nostrum (Eurospan)
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Цена: 11161.00 р.
Наличие на складе: Нет в наличии.

Описание: This textbook presents a special solution of underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called sparse solution. As underdetermined linear systems can be very different, the authors explain how to compute a sparse solution by many approaches.Sparse Solutions of Underdetermined Linear Systems:Contains 72 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval.Provides a detailed explanation of these algorithms including derivations and convergence analysis.Includes exercises for each chapter to help the reader understand the material.This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdocs will also find the book of interest.It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.

Response Surface Methodology

Автор: Myers Raymond H.
Название: Response Surface Methodology
ISBN: 1118916018 ISBN-13(EAN): 9781118916018
Издательство: Wiley
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Цена: 20109.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Praise for the Third Edition: This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.

Clinical Trial Optimization using R

Название: Clinical Trial Optimization using R
ISBN: 149873507X ISBN-13(EAN): 9781498735070
Издательство: Taylor&Francis
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Цена: 16078.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies. It provides the clinical researcher with a powerful evaluation paradigm, as well as supportive R tools, to evaluate and select among simultaneous competing designs or analysis options. It is applicable broadly to statisticians and other quantitative clinical trialists, who have an interest in optimizing clinical trials, clinical trial programs, or associated analytics and decision making.

This book presents in depth the Clinical Scenario Evaluation (CSE) framework, and discusses optimization strategies, including the quantitative assessment of tradeoffs. A variety of common development challenges are evaluated as case studies, and used to show how this framework both simplifies and optimizes strategy selection. Specific settings include optimizing adaptive designs, multiplicity and subgroup analysis strategies, and overall development decision-making criteria around Go/No-Go. After this book, the reader will be equipped to extend the CSE framework to their particular development challenges as well.


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