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Oxford Handbook of Medical Statistics [Anglais] [Broché]

Janet Peacock , Philip Peacock

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Présentation de l'éditeur

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.

Biographie de l'auteur

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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5.0 étoiles sur 5 Great handbook 12 février 2011
Par Amir Gahremanpour - Publié sur Amazon.com
Format:Broché|Achat vérifié
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.
5.0 étoiles sur 5 Well targeted to medical practitioners 21 décembre 2013
Par John C. Sloan - Publié sur Amazon.com
Format:Broché|Achat vérifié
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.
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