upon. Readers have the choice of MATLAB(r) for classical data analysis and WinBUGS/OpenBUGS for Bayesian data analysis. Every chapter starts with a box highlighting what is covered in that chapter and ends with exercises, a list of software scripts, datasets, and references. Engineering Biostatistics: An Introduction using MATLAB(r) and WinBUGS also includes: * parallel coverage of classical and Bayesian approaches, where appropriate * substantial coverage of Bayesian approaches to statistical inference * material that has been classroom-tested in an introductory statistics course in bioengineering over several years * exercises at the end of each chapter and an accompanying website with full solutions and hints to some exercises, as well as additional materials and examples Engineering Biostatistics: An Introduction using MATLAB(r) and WinBUGS can serve as a textbook for introductory-to-intermediate applied statistics courses, as well as a useful reference for engineers interested in biostatistical approaches.