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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.
- Sales Rank: #193943 in eBooks
- Published on: 2010-11-04
- Released on: 2010-11-04
- Format: Kindle eBook
Review
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
About the Author
Janet Peacock is Professor of Medical Statistics in the Department of Public Health Sciences and Medical Statistics, University of Southampton School of Medicine, where she leads the discipline of Medical Statistics.
She previously worked 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.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Great handbook
By Farnaz H.
The authors managed to include amazingly large amount of important material in this little handbook. The book covers a wide variety of statistical procedures. Perhaps the best review book out there. Great job.
1 of 1 people found the following review helpful.
Well targeted to medical practitioners
By John C. Sloan
I had one undergraduate course in stochastic modeling and another in data mining. Basically, anyone with a course or two in statistics for non-math majors can directly apply what they learned to bio-medicine with the help of this book. Although ostensibly aimed at practicing physicians, as a healthcare IT person, I found this book helpful. I use it as if I were using a recipe book.
1 of 1 people found the following review helpful.
Four Stars
By Nicole Solana
Love this little book. Has almost everything you need! Great while reading journal articles.
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