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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 Peacock 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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Paperback. Condizione: new. Paperback. Two titles from the bestselling Oxford Handbook series are available together in this great value pack.Written by biomedical scientists and clinicians to disseminate the fundamental scientific principles that underpin clinical medicine, this new edition of the Oxford Handbook of Medical Sciences provides a clear, easily digestible account of basic cell physiology and biochemistry, and an investigation of the traditional piers of medicine (anatomy, physiology, biochemistry, pathology and pharmacology) integrated in the context of each of the major systems relevant to the human body. Cross-referenced to the Oxford Handbook of Clinical Medicine, and thoroughly illustrated, it is the ideal introduction to the basic medical sciences for junior medical students, and a perfect revision guide for senior students. 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 multifactor 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. This pack provides a clear, easily digestible account of basic cell physiology and biochemistry, and an investigation of the traditional piers of medicine, and shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780198758020
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Taschenbuch. Condizione: Neu. Neuware - This pack provides a clear, easily digestible account of basic cell physiology and biochemistry, and an investigation of the traditional piers of medicine, and shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings. Codice articolo 9780198758020
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