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Statistics in Medicine,, Robert H. Riffenburgh


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Автор: Robert H. Riffenburgh
Название:  Statistics in Medicine,
Перевод названия: Роберт Риффенбург: Статистика в медицине
ISBN: 9780123848642
Издательство: Elsevier Science
Классификация:


ISBN-10: 0123848644
Обложка/Формат: Hardback
Страницы: 738
Вес: 1.68 кг.
Дата издания: 13.08.2012
Серия: Life Sciences
Язык: English
Издание: 3 rev ed
Иллюстрации: Illustrations
Размер: 241 x 196 x 40
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses.

      Новое издание
Statistics In Medicine

Автор: Riffenburgh, Robert H.
Название: Statistics In Medicine
ISBN: 0128153288 ISBN-13(EAN): 9780128153284
Издательство: Elsevier Science
Цена: 88690 T
Наличие на складе: Поставка под заказ.
Описание:

Statistics in Medicine, Fourth Edition, helps medical and biomedical investigators design and answer questions about analyzing and interpreting data and predicting the sample size required to achieve useful results. It makes medical statistics easy for the non-biostatistician by outlining common methods used in 90% of medical research. The text covers how to plan studies from conception to publication, what to do with data, and follows with step-by-step instructions for biostatistical methods from the simplest levels, to more sophisticated methods now used in medical articles. Examples from almost every medical specialty, and from dentistry, nursing, pharmacy and health care management are provided.

This book does not require background knowledge of statistics or mathematics beyond high school algebra and provides abundant clinical examples and exercises to reinforce concepts. It is a valuable source for biomedical researchers, healthcare providers and anyone who conducts research or quality improvement projects.


      Старое издание
Statistics in Medicine. 2ed. 2005

Автор: Riffenburgh
Название: Statistics in Medicine. 2ed. 2005
ISBN: 0120887703 ISBN-13(EAN): 9780120887705
Издательство: Elsevier Science
Цена: 53990 T
Наличие на складе: Невозможна поставка.
Описание: Presents the common statistical methods used in 90 per cent of medical research, along with the underlying basics. This book incorporates medical examples, step-by-step methods, and check yourself exercises. It includes chapter summaries which provide a review of formulas, method algorithms, and check lists.


Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology

Автор: S. M. Niaz Arifin,Gregory R. Madey,Frank H. Collin
Название: Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology
ISBN: 1118964357 ISBN-13(EAN): 9781118964354
Издательство: Wiley
Рейтинг:
Цена: 113990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis Bridging the gap between agent–based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful introduction to the development of agent–based models (ABMs) by following a conceptual and biological core model of Anopheles gambiae for malaria epidemiology. Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation–based, and geo–spatial domains in order to identify and analyze relationships between various transmission variables of the disease. Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology also features: Location–specific mosquito abundance maps that play an important role in malaria control activities by guiding future resource allocation for malaria control and identifying hotspots for further investigation Discussions on the best modeling practices in an effort to achieve improved efficacy, cost–effectiveness, ecological soundness, and sustainability of vector control for malaria An overview of the various ABMs, GIS, and spatial statistical methods used in entomological and epidemiological studies, as well as the model malaria study A companion website with computer source code and flowcharts of the spatial ABM and a landscape generator tool that can simulate landscapes with varying spatial heterogeneity of different types of resources including aquatic habitats and houses Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology is an excellent reference for professionals such as modeling and simulation experts, GIS experts, spatial analysts, mathematicians, statisticians, epidemiologists, health policy makers, as well as researchers and scientists who use, manage, or analyze infectious disease data and/or infectious disease–related projects. The book is also ideal for graduate–level courses in modeling and simulation, bioinformatics, biostatistics, public health and policy, and epidemiology. S. M. Niaz Arifin, PhD, is Research Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame.  A member of The Society for Computer Simulation, and American Society of Tropical Medicine and Hygiene, and the recipient of The American Society of Tropical Medicine and Hygiene Travel Award in 2011, his research interests include agent–based modeling and simulation, public health, data warehousing, and geographic information systems.   Gregory R. Madey, PhD, is Research Professor in the Department of Computer Science and Engineering at the University of Notre Dame.  A member of The Society for Computer Simulation, Institute of Electrical and Electronics Engineers Computer Society, and American Society of Tropical Medicine and Hygiene, his research interests include agent–based modeling and simulation, cyberinfrastructure, bioinformatics, biocomplexity, e–Technologies, open source software, disaster management, and health informatics.   Frank H. Collins, PhD, is Professor in the Department of Biological Sciences at the University of Notre Dame.  His research interests include genome level studies of arthropod vectors of human pathogens, the biology of malaria vectors with a focus on the development of molecular tools that will permit better resolution of questions about vector population ec

Statistics in Medicine. 2ed. 2005

Автор: Riffenburgh
Название: Statistics in Medicine. 2ed. 2005
ISBN: 0120887703 ISBN-13(EAN): 9780120887705
Издательство: Elsevier Science
Рейтинг:
Цена: 53990.00 T
Наличие на складе: Невозможна поставка.
Описание: Presents the common statistical methods used in 90 per cent of medical research, along with the underlying basics. This book incorporates medical examples, step-by-step methods, and check yourself exercises. It includes chapter summaries which provide a review of formulas, method algorithms, and check lists.

Practical Statistics for Medical Research

Автор: Altman
Название: Practical Statistics for Medical Research
ISBN: 0412276305 ISBN-13(EAN): 9780412276309
Издательство: Taylor&Francis
Рейтинг:
Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Primarily aimed at medical researchers, this book aims to provide an understanding of the basic principles that underlie research design, data analysis and the interpretation of results, and to enable the reader to carry out a wide range of statistical analyses.

Key Topics In Clinical Research And Statistics

Автор: Gao Smith
Название: Key Topics In Clinical Research And Statistics
ISBN: 1859960286 ISBN-13(EAN): 9781859960288
Издательство: Taylor&Francis
Рейтинг:
Цена: 45930.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Key Topics in Clinical Research aims to provide a short, clear, highlighted reference to guide trainees and trainers through research and audit projects, from first idea, through to data collection and statistical analysis, to presentation and publication

Oxford Handbook of Medical Statistics

Автор: Peacock, Janet, Peacock, Philip
Название: Oxford Handbook of Medical Statistics
ISBN: 0199551286 ISBN-13(EAN): 9780199551286
Издательство: Oxford Academ
Рейтинг:
Цена: 34840.00 T
Наличие на складе: Невозможна поставка.
Описание: The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.

An Introduction to Medical Statistics 4th Edition

Автор: Bland, Martin (Professor of Health Statistics, Professor of Health Statistics, University of York)
Название: An Introduction to Medical Statistics 4th Edition
ISBN: 0199589925 ISBN-13(EAN): 9780199589920
Издательство: Oxford Academ
Рейтинг:
Цена: 55970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Introduction to Medical Statistics, fourth edition, is a `must-have` textbook. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the common statistical methods seen in published research and guidelines, as well as how to interpret and analyse statistics for clinical practice.


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