Statistics for Biomedical Engineers and Scientists: How to Visualize and Analyze Data
- 4h 28m
- Andrew P. King, Robert J. Eckersley
- Elsevier Science and Technology Books, Inc.
- 2019
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
About the Author
Andrew King is a teacher, author, father of 2 and former camel owner (it's a long story!). He has many years of experience in teaching at university level, both in the U.K. and internationally. He currently works at King’s College London, teaching Biomedical Engineering students courses on computer programming and statistics. His writing is informed by his experience of teaching students with an interest in the biomedical applications of technology, and his books represent accessible yet thorough introductions to key topics in biomedical engineering, motivated by real-world biomedical examples.
As well as his educational activities, Andrew leads a research group with a focus on medical image analysis and machine learning.
Group home page: http://kclmmag.org
Twitter: @atoandyking
In this Book
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Descriptive Statistics I—Univariate Statistics
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Descriptive Statistics II—Bivariate and Multivariate Statistics
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Descriptive Statistics III—ROC Analysis
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Inferential Statistics I—Basic Concepts
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Inferential Statistics II—Parametric Hypothesis Testing
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Inferential Statistics III—Nonparametric Hypothesis Testing
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Inferential Statistics IV—Choosing a Hypothesis Test
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Inferential Statistics V—Multiple and Multivariate Hypothesis Testing
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Experimental Design and Sample Size Calculations
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Statistical Shape Models
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MATLAB Case Study on Descriptive and Inferential Statistics
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References
