Numerical and statistical methods for bioengineering : applications in MATLAB Machine generated contents note: 1. Types and sources of numerical error; 2. Systems of linear equations; 3. Statistics and probability; 4. Hypothesis testing; 5. Root finding techniques for nonlinear equations; 6. Numerical quadrature; 7. Numerical integration of ordinary differential equations; 8. Nonlinear data regression and optimization; 9. Basic algorithms of bioinformatics; Appendix A. Introduction to MATLAB; Appendix B. Location of nodes for Gauss Legendre quadrature Cambridge Texts in Biomedical Engineering provides a forum for high quality accessible textbooks targeted at undergraduate and graduate courses in biomedical engineering. It will cover a broad range of biomedical engineering topics from introductory texts to advanced topics including but not limited to biomechanics physiology biomedical instrumentation imaging signals and systems cell engineering and bioinformatics. The series will blend theory and practice aimed primarily at biomedical engineering students but will be suitable for broader courses in engineering the life sciences and medicine 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