Oxford Handbook of Medical Statistics

Oxford Handbook of Medical Statistics
Author: Janet Peacock
Publisher: Oxford University Press
Total Pages: 540
Release: 2011
Genre: Medical
ISBN: 0199551286

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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.


Oxford Handbook of Medical Statistics
Language: en
Pages: 540
Authors: Janet Peacock
Categories: Medical
Type: BOOK - Published: 2011 - Publisher: Oxford University Press

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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
Medical Statistics
Language: en
Pages: 454
Authors: Stephen J. Walters
Categories: Medical
Type: BOOK - Published: 2021-02-01 - Publisher: John Wiley & Sons

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The 5th edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters a
An Introduction to Medical Statistics
Language: en
Pages:
Authors: Martin Bland
Categories: Medical
Type: BOOK - Published: 2015-07-23 - Publisher: Oxford University Press

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Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subjec
Essentials of Medical Statistics
Language: en
Pages: 246
Authors: Betty Kirkwood
Categories: Medical
Type: BOOK - Published: 1991-01-15 - Publisher: Wiley-Blackwell

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A concise, straightforward introduction to medical statistics, this book covers all the topics which a medical student or research worker is likely to encounter
Practical Statistics for Medical Research
Language: en
Pages: 624
Authors: Douglas G. Altman
Categories: Mathematics
Type: BOOK - Published: 1990-11-22 - Publisher: CRC Press

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Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use sta