Oxford Handbook of Epidemiology for Clinicians + Oxford Handbook of Medical Statistics

This excellent value pack contains the Oxford Handbook of Epidemiology for Clinicians and the Oxford Handbook of Medical Statistics.

The Oxford Handbook of Epidemiology for Clinicians provides all the information required by students and junior doctors who need to understand and translate key epidemiological concepts into medical practice. Unlike standard textbooks in this area, the focus throughout is on clinical applications of epidemiological knowledge.
Divided into four sections, the handbook begins with the basics of epidemiology in the clinic, moving on to the theories behind evidence-based practice, discussions of optimum methods and studies, and then ends by looking at the epidemiology of common diseases. The material is presented in a logical manner, from problems to the most appropriate solutions or tools to be applied. Interesting topics such as controversies in prevention intervention encourage discussion and thought, and the authors pose sensible and important questions throughout. This handbook is a must for all junior doctors, medical students, and clinicians who need to apply epidemiological concepts to day-to-day practice.

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.

Helen Ward, Professor of Public Health, Imperial College London, UK,Mireille B. Toledano,Senior Lecturer in Epidemiology, Imperial College London, UK,Gavin Shaddick,Senior Lecturer in Statistics, University of Bath, UK,Bethan Davies, Clinical Research Fellow, Imperial College London, UK,Janet Peacock, Professor of Medical Statistics, Department of Public Health Sciences and Medical Statistics, University of Southampton School of Medicine, Southampton, UK,Philip Peacock,Academic Clinical Fellow in Paediatrics, Department of Community Based Medicine, University of Bristol, UK

Helen Ward is Professor of Public Health at Imperial College London and an Honorary Consultant in the Clinical Directorate of Public Health and Primary Care in the Imperial College Healthcare NHS Trust. She is Director of Education for the School of Public Health and has extensive experience teaching epidemiology, public and global health to medical students and health professionals. She leads a research group working on the epidemiology and control of sexually transmitted infections and HIV, and directs Imperial's Centre for Patient Experience Research.

Dr Mireille Toledano is a senior lecturer in epidemiology at Imperial College London and an investigator of the MRC-HPA Centre for Environment and Health specialising in environmental epidemiology and exposure assessment. She is currently a Fellow of the Higher Education Academy, following successful completion of a postgraduate certificate in higher education at Imperial College London.

Paul Elliott is Professor of Epidemiology and Public Health Medicine at Imperial College London and an Honorary Consultant in the Clinical Directorate of Public Health and Primary Care in the Imperial College Healthcare NHS Trust. He is also the Director of the MRC-HPA Centre for Environment and Health which coordinates a major programme of scientific research and postgraduate training in the health effects of environmental pollutants. He has particular interests in clinical biobanks and molecular epidemiology.

Gavin Shaddick is Reader in statistics at the Department of Mathematical Sciences at University of Bath. He has previously held positions as a lecturer and senior lecturer at the University of Bath, a research assistant at the Department of Epidemiology at Imperial College, London, and a research assistant and fellow at the Environmental Epidemiology Unit, London, School of Hygiene and Tropical Medicine.

Bethan Davies studied Medicine at Cambridge University and is training in Public Health. She is currently working as a Clinical Research Fellow at Imperial College London.

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.


Philip 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.