Andrew P. King, Robert Eckersley

Statistics for Biomedical Engineers and Scientists (eBook, ePUB)

How to Visualize and Analyze Data

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 274
• Erscheinungstermin: 18. Mai 2019
• Englisch
• ISBN-13: 9780081029404
• Artikelnr.: 56849551

Autorenporträt

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: goo.gl/ZZGrGr, group web site: kclmmag.org).Dr. Robert Eckersley is a Senior Lecturer in the School of Biomedical Engineering and Imaging Sciences at King's College London. His research interests include all aspects of the physics and engineering of medical ultrasound imaging. He has a long standing interest in the development of microbubble contrast agents for quantitative functional imaging with ultrasound. He is currently PI on an EPSRC grant investigating the development of super-resolution strategies for ultrasound imaging and is an co-investigator on the Wellcome and EPSRC funded iFind project ifindproject.com.