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Basic Biostatistics for Geneticists and Epidemiologists

A Practical Approach
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Basic Biostatistics for Geneticists and Epidemiologists equips readers with essential statistical concepts needed to understand genetics and epidemiology research literature. Written for those with little or no statistical background, it covers fundamental methods such as maximum likelihood, least squares, permutation testing and bootstrapping. The book uses simple examples and pictorial explanations, including Bayes’ theorem, and features exercises for self-study or coursework.
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Format: Paperback / softback
$9799
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

Ideal for graduate students and researchers in genetic epidemiology, biology, medical research, and statistics seeking a straightforward introduction to biostatistics without requiring advanced maths.

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Today, anyone who attempts to read genetics or epidemiology research literature intelligently, needs to understand the essentials of biostatistics.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics, has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast-moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures.

Basic Biostatistics for Geneticists and Epidemiologists:

  • Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares.
  • Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research.
  • Is illustrated throughout with simple examples to clarify the statistical methodology.
  • Explains Bayes’ theorem pictorially.
  • Features exercises, with answers to alternate questions, enabling use as a course text.

Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.

Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Reviews praise the book for its clear, focused approach, aiming to enable readers to comprehend statistical methods in genetics and epidemiology literature rather than covering broad applications. JAMA highlights its practical goal of helping readers stay current with research findings. Human Genetics commends it as a comprehensive yet accessible resource valuable to researchers of all statistical expertise. American Journal of Epidemiology notes its usefulness for critically reading biomedical literature.

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Book Details

INFORMATION

ISBN: 9780470024904

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 24 October 2008

Country: United States

Imprint: John Wiley & Sons Inc

Audience: Professional and scholarly

DIMENSIONS

Spine width: 23.0mm

Width: 173.0mm

Height: 244.0mm

Weight: 680g

Pages: 384

About the Author

Robert C. Elston Department of Epidemiology and Biostatistics, Case Western Reserve University, USA.

William D. Johnson Pennington Biomedical Research Center, Louisiana State University, USA.

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