Numerical and Statistical Methods for Bioengineering

The first MATLAB-based numerical methods textbook for bioengineers that uniquely integrates modelling concepts with statistical analysis, while maintaining a focus on enabling the user to report the error or uncertainty in their result. Between traditional numerical method topics of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on hypothesis testing, data regression and probability are interweaved. A unique feature of the book is the inclusion of examples from clinical trials and bioinformatics, which are not found in other numerical methods textbooks for engineers. With a wealth of biomedical engineering examples, case studies on topical biomedical research, and the inclusion of end of chapter problems, this is a perfect core text for a one-semester undergraduate course.

Author: Michael R. King,Nipa A. Mody
Publisher: Cambridge University Press
Published: 11/04/2010
Pages: 594
Binding Type: Hardcover
Weight: 3.05lbs
Size: 10.20h x 8.30w x 1.50d
ISBN: 9780521871587

Review Citation(s):
Choice 08/01/2011
Reference and Research Bk News 04/01/2011 pg. 315

About the Author
King, Michael R.: - Michael R. King is an Associate Professor of Biomedical Engineering at Cornell University. He is an expert on the receptor-mediated adhesion of circulating cells, and has developed new computational and in vitro models to study the function of leukocytes, platelets, stem and cancer cells under flow. He has co-authored two books and received numerous awards, including the 2008 ICNMM Outstanding Researcher Award from the American Society of Mechanical Engineers and received the 2009 Outstanding Contribution for a Publication in the international journal Clinical Chemistry.Mody, Nipa A.: - Nipa A. Mody is currently a postdoctoral research associate at Cornell University in the Department of Biomedical Engineering. She received her Ph.D. in Chemical Engineering from the University of Rochester in 2008 and has received a number of awards including a Ruth L. Kirschstein National Research Service Award (NRSA) from the NIH in 2005 and the Edward Peck Curtis Award for Excellence in Teaching from the University of Rochester in 2004.