Medical Statistics from A to Z
A Guide for Clinicians and Medical Students 2nd Revised edition
By (author) B. S. Everitt
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Medical Statistics from A to Z by B. S. Everitt
Book DescriptionFrom 'Abcissa' to 'Zygosity determination' - this accessible introduction to the terminology of medical statistics describes more than 1500 terms all clearly explained, illustrated and defined in non-technical language, without any mathematical formulae! With the majority of terms revised and updated and the addition of more than 100 brand new definitions, this new edition will enable medical students to quickly grasp the meaning of any of the statistical terms they encounter when reading the medical literature. Furthermore, annotated comments are used judiciously to warn the unwary of some of the common pitfalls that accompany some cherished biomedical statistical techniques. Wherever possible, the definitions are supplemented with a reference to further reading where the reader may gain a deeper insight, so whilst the definitions are easily disgestible, they also provide a stepping stone to a more sophisticated comprehension. Statistical terminology can be quite bewildering for clinicians: this guide will be a lifesaver.
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Book DetailsISBN: 9780521867634
(247mm x 174mm x 16mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 21-Dec-2006
Country of Publication: United Kingdom
Books By Author B. S. Everitt
Cambridge Dictionary of Statistics, Hardback (August 2010)
Easy access to simple, reliable definitions and explanations of modern statistical and statistics-related concepts.
Statistical Consultant in Action, Paperback (December 2007)
This book presents the human side of statistical consulting and illustrates the problems and opportunities that can arise.
Medical Statistics from A to Z, Paperback (December 2006)» View all books by B. S. Everitt
An accessible non-technical introduction to the terminology of medical statistics.
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Author Biography - B. S. Everitt
Brian Everitt is Editor-in-Chief of Statistical Methods in Medical Research and Professor Emeritus at King's College, London.
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