Statistics at square one, Campbell, Michael J.

Автор: Peacock, Janet, Peacock, Philip
Название: Oxford Handbook of Medical Statistics
ISBN: 0199551286 ISBN-13(EAN): 9780199551286
Издательство: Oxford Academ
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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.

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
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Цена: 55970.00 T
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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.

Автор: Altman Douglas, Elliott J Elizabeth, Machin David,
Название: Statistics with Confidence 2nd Edn
ISBN: 0727913751 ISBN-13(EAN): 9780727913753
Издательство: Wiley
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Цена: 50630.00 T
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Описание: 2nd.edition.

Автор: Robert H. Riffenburgh
Название: Statistics in Medicine,
ISBN: 0123848644 ISBN-13(EAN): 9780123848642
Издательство: Elsevier Science
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Цена: 56940.00 T
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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.