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Medical statistics is increasingly important in many areas of medicine and the growing rise of evidence-based medicine will make it still more so. It has critical applications in clinical trials, genetic research, epidemiology and in the design and analysis of medical experiments and surveys. Statistical analyses are now widely reported in published papers and no researcher or practitioner in the health sciences can afford to ignore this crucial subject. The Encyclopaedic Dictionary of Medical Statistics is a straightforward and comprehensive reference source that will be an invaluable guide for those with no formal statistical background and a handy reference for those who do know some statistics. With coverage ranging from simple definitions and basic tests to the latest techniques used at the cutting edge of medical research, this book will be invaluable to anyone working in this field.
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About the Author

The Editors * Brian S. Everitt is Emeritus Professor of Statistics, Institute of Psychiatry, King's College London, UK. * Christopher R. Palmer is Director of the Centre for Applied Medical Statistics in the Department of Public Health and Primary Care, University of Cambridge, UK

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If this magnificent encyclopaedia can be deployed in the ongoing argument about the future of twenty-first century academic medicine, then not only the research enterprise but also the public's health and well-being will be far stronger tomorrow than it is today. -- Richard Horton, editor of the Lancet, in the Forew

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