Health and Lifestyle: Separating the Truth from the Myth with Statistics

Author:   Brian S. Everitt
Publisher:   Springer
Edition:   1st ed. 2016
ISBN:  

9783319425641


Pages:   155
Publication Date:   01 December 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Health and Lifestyle: Separating the Truth from the Myth with Statistics


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Full Product Details

Author:   Brian S. Everitt
Publisher:   Springer
Imprint:   Copernicus
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 0.90cm , Length: 23.50cm
Weight:   2.701kg
ISBN:  

9783319425641


ISBN 10:   3319425641
Pages:   155
Publication Date:   01 December 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Some Medical History, a Little Statistics and a Very Small Dose of Genetics.- Treatments Good, Bad and Indifferent and How do we Tell? The Randomized Clinical Trial.- Will Drinking Too Much Coffee Result in a Heart Attack? Risk Factors and Health.- Let’s Talk About Cancer.- Food, Weight and Lifestyle: Is Eating too Much and Moving too Little Bad for Your Health?- Alternative Therapies; Magic, Miracles and Delusions.- Epilogue.

Reviews

This is a translational book that uses medical stories to demonstrate the application of statistics for clinicians. ... Clinicians at all levels can learn much about statistics just by reading this book without struggling over the theory of the concepts. ... This is a really entertaining book for those who dislike statistics but need to have a better understanding of what the literature is presenting. (Vincent F. Carr, Doody's Book Reviews, April, 2017)


“This is a translational book that uses medical stories to demonstrate the application of statistics for clinicians. … Clinicians at all levels can learn much about statistics just by reading this book without struggling over the theory of the concepts. … This is a really entertaining book for those who dislike statistics but need to have a better understanding of what the literature is presenting.” (Vincent F. Carr, Doody's Book Reviews, April, 2017)


Author Information

Professor Everitt is an emeritus professor of King’s College, London, having retired in 2004. He is the author of over 70 books on statistics including two previously published by Springer, Chance Rules and An Introduction to Multivariate Analysis with R (jointly authored with Professor Torsten Hothorn). He is also Editor-in-Chief of the journal Statistical Methods in Medical Research (SMMR). In his retirement Professor Everitt continues to write and to edit SMMR, in between frequent games of tennis and long walks in the countryside.

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