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Home Medical Statistics from A to Z

Medical Statistics from A to Z

A Guide for Clinicians and Medical Students

Brian S. Everitt
Biostatistics
Book
  • Medical Statistics from A to Z - 9781108826464
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Content

For clinicians not well-versed in mathematical techniques, medical statistics can be baffling. Understanding these statistics is crucial for the interpretation of literature and the informed judgement of the use of therapies. From 'Abortion rate' to 'Zygosity determination', this accessible introduction to the terminology of medical statistics clearly describes, illustrates and explains over 1500 terms using non-technical language, and without any mathematical formulae! The majority of terms have been updated and revised for this new edition, and almost 150 new definitions have been added, ensuring readers are up to date with the latest practices. Entries are organised alphabetically, and related topics are clearly cross-referenced throughout, to provide fast, easy navigation. Further reading suggestions supplement most definitions, which allows readers to deepen their understanding of the subject. Enabling clinicians and medical students to grasp the meaning of any statistical terms they encounter when studying medical literature, this guide is a real lifesaver.

    Includes over 150 new definitions, with the majority of the other terms revised to improve the clarity of definitions
    Highly illustrated with example graphs and charts, helping readers to cement their understanding of the definitions
    An accessible, non-technical introduction to medical statistics, without any mathematical formulae, the alphabetized organisation and cross-referencing between related terms aids navigation

Table of Contents

Preface to the Third Edition
Preface to the Second Edition
Preface to the First Edition
References
A-Z.

Specifications
Publisher
Cambridge University Press
Publication date
March 18, 2021
Pages
290
ISBN
9781108826464
Edition
3
Format
Paperback
About the author
Brian Everitt is Editor-in-Chief of Statistical Methods in Medical Research and Professor Emeritus at King's College, London.

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