Oxford Handbook of Medical Statistics
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Oxford Handbook of Medical Statistics

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Description

To practice evidence-based medicine, doctors need to understand how research is conducted and be able to critically appraise research evidence. A sound understanding of medical statistics is essential for the correct evaluation of medical research and the appropriate implementation of findings in clinical practice.
Written in an easily accessible style, the Oxford Handbook of Medical Statistics provides doctors and medical students with a concise and thorough account of this often difficult subject. It 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, using examples from published research. References for further reading are given
for more information on specific topics.
Helping readers to conduct their own research or critically appraise other's work, this volume provides all the information readers need to understand and interpret medical statistics.
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Product details

  • Paperback | 544 pages
  • 108 x 181 x 24mm | 283g
  • Oxford, United Kingdom
  • English
  • 82 black and white ilustrations
  • 0199551286
  • 9780199551286
  • 86,074

Table of contents

1. Research design ; 2. Collecting data ; 3. Handling data ; 4. Presenting research findings ; 5. Choosing statistical software ; 6. Summarizing data ; 7. Probability and distributions ; 8. Statistical tests ; 9. Diagnostic studies ; 10. Other statistical methods ; 11. Multiple observations ; 12. Multiple variables ; 13. Meta-analysis ; 14. Bayesian statistics ; 15. Glossary of terms
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Review Text

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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Review quote

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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About Janet Peacock

Janet Peacock is Professor of Medical Statistics in the Division of Health and Social Care Research, King's College London, where she leads the discipline of Medical Statistics.
She previously worked at the University of Southampton, and for over 20 years at St George's University of London. There she worked with Martin Bland and Sally Kerry with whom she has co-authored two books, Statistical Questions in Evidence-based Medicine (with Martin Bland) and Presenting Medical Statistics from proposal to publication (with Sally Kerry). She has always been enthusiastic about teaching medical statistics to medical students, doctors, and other health professionals, and is
passionate about communicating the subject clearly. During her career to date she has collaborated with a wide range of health professionals in numerous epidemiological studies, randomised controlled trials and meta-analyses.


Phil qualified in medicine at Bristol in 2007 and is currently working as an Academic Clinical Fellow at the University of Bristol alongside specialty training in paediatrics within the Severn Deanery. He has been involved in research projects both as an undergraduate and since qualifying, and has produced several publications. Phil enjoys combining medical research with clinical practice, and is keen to help others understand and get involved with the research
process.
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Rating details

16 ratings
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