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Statistics for Biomedical Engineers and Scientists: How to Visualize and Analyze Data

Contributor(s): King, Andrew P (Author), Eckersley, Robert (Author)

ISBN: 9780081029398

Publisher: Academic Press

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Pub Date: May 21, 2019

LCCN: 2021301191

Lexile Code: 0000

Features: Bibliography, Index

Target Age Group: NA to NA

Physical Info: 0.58" H x 9.25" L x 7.50" W ( 1.05 lbs) 274 pages

Descriptions, Reviews, etc.

Description: Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the concepts of basic statistics, with a focus on solving biomedical problems. Readers will learn how to understand the fundamental concepts of descriptive and inferential statistics, analyze data and choose an appropriate hypothesis test to answer a given question, compute numerical statistical measures and perform hypothesis tests 'by hand', and visualize data and perform statistical analysis using MATLAB. Practical activities and exercises are provided, making this an ideal resource for students in biomedical engineering and the biomedical sciences who are in a course on basic statistics. Presents a practical guide on how to visualize and analyze statistical data Provides numerous practical examples and exercises to illustrate the power of statistics in biomedical engineering applications Gives an intuitive understanding of statistical tests Covers practical skills by showing how to perform operations 'by hand' and by using MATLAB as a computational tool Includes an online resource with downloadable materials for students and teachers.--

Brief description: Dr King has over 20 years of experience of teaching computing courses at university level. He is currently a Reader in the Biomedical Engineering department at King's College London. With Paul Aljabar, he designed and developed the Computer Programming module for Biomedical Engineering students upon which this book was based. The module has been running since 2014 and Andrew still co-organises and teaches on it. Between 2001-2005, Andrew worked as an Assistant Professor in the Computer Science department at Mekelle University in Ethiopia, and was responsible for curriculum development, and design and delivery of a number of computing modules. Andrew's research interests focus mainly on the use of machine learning and artificial intelligence techniques to tackle problems in medical imaging, with a special focus on dynamic imaging data, i.e. moving organs (Google Scholar: https: //goo.gl/ZZGrGr, group web site: http: //kclmmag.org).

Review Quotes:

"This book is a very interesting introduction to the basic concepts of statistics. The majority of examples are taken from medicine and biology. However, the scope of the book is more general, so it is worth to be read by everybody, who wants to apply statistical methods in any field." --zbMATH

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