Oxford Handbook of Medical Statistics - Oxford Medical Handbooks

4.14 ( 21 Ratings by Goodreads)
Oxford Handbook of Medical Statistics

Oxford Handbook of Medical Statistics - Oxford Medical Handbooks

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4.14 (21 Ratings by Goodreads)
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Published: 11 June, 2020
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Description

A good understanding of medical statistics is essential to evaluate medical research and to choose appropriate ways of implementing findings in clinical practice. The Oxford Handbook of Medical Statistics has been written to provide doctors and medical students with a comprehensive yet concise account of this often difficult subject. Described by readers as a 'statistical Bible', this new edition maintains the accessibility and thoroughness of the original, and includes comprehensive updates including new sections on transitional medicine, cluster designs, and modern statistical packages. The Handbook promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t- and chi-squared tests, to complex multifactorial analyses, all using examples from published research. References and further reading are included, to allow deeper understanding on specific topics. Featuring a new chapter on how to use this book in different medical contexts, the Oxford Handbook of Medical Statistics helps readers to conduct their own research and critically appraise others' work.
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Type Book
ISBN13 9780198743583
ISBN10 0198743580
Number Of Pages 640
Item Weight 334 g
Product Dimensions 102 x 185 x 24 mm
Publisher / Reseller Oxford University Press
Format other
Edition 2nd Revised edition
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Media Reviews

Review from previous edition 'I am a student of the Masters in Public Health. I just wanted to let you know that I have really enjoyed the classes you taught as well as the book that you've written (the oxford handbook of medical statistics). I found the book a breath of fresh air when revising for my exams- the explanations so clear and concise, straight to the point. Statistics really do make sense when explained like this. Thank you for providing such a useful tool.' * Alicia Rosello, King's College London *

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Author's Bio

Janet is a biostatistician who has worked in UK and US Medical Schools for many years collaborating in research studies, particularly in paediatrics. She is also Emeritus Professor of Medical Statistics at King's College, London. Her main focus continues to be the use and extension of statistical methods in epidemiological studies. She is passionate about communicating statistics clearly and making results clinically meaningful without losing statistical rigour. Phil is in the final months of subspecialty training in paediatric emergency medicine in Oxford, having previously undertaken core paediatric training in Bristol. He has published several research papers, and enjoys helping clinicians to better understand statistics, engage with clinical research, and practice evidence-based medicine.

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