© 2011

Statistics for Bioengineering Sciences

With MATLAB and WinBUGS Support


Part of the Springer Texts in Statistics book series (STS)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Brani Vidakovic
    Pages 1-7
  3. Brani Vidakovic
    Pages 9-58
  4. Brani Vidakovic
    Pages 109-130
  5. Brani Vidakovic
    Pages 131-189
  6. Brani Vidakovic
    Pages 191-228
  7. Brani Vidakovic
    Pages 229-277
  8. Brani Vidakovic
    Pages 279-315
  9. Brani Vidakovic
    Pages 317-354
  10. Brani Vidakovic
    Pages 355-408
  11. Brani Vidakovic
    Pages 409-476
  12. Brani Vidakovic
    Pages 477-501
  13. Brani Vidakovic
    Pages 503-530
  14. Brani Vidakovic
    Pages 531-570
  15. Brani Vidakovic
    Pages 571-597
  16. Brani Vidakovic
    Pages 599-656
  17. Brani Vidakovic
    Pages 657-700

About this book


Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering, while implementing software that engineers are familiar with.

The author integrates introductory statistics for engineers and  introductory biostatistics as a single textbook heavily oriented to computation and hands on approaches. For example, topics ranging from the aspects of disease and device testing, Sensitivity, Specificity and ROC curves, Epidemiological Risk Theory, Survival Analysis, or Logistic and Poisson Regressions are covered.

In addition to the synergy of engineering and biostatistical approaches, the novelty of this book is in the substantial coverage of Bayesian approaches to statistical inference. Many examples in this text are solved using both the traditional and Bayesian methods, and the results are compared and commented.


Bayesian methods MATLAB WinBUGS statistical inference

Authors and affiliations

  1. 1., Department of Biomedical EngineeringGeorgia Institute of TechnologyAtlantaUSA

About the authors

Brani Vidakovic is Fellow of American Statistical Association, Elected Member of International Statistical Institute, an Editor-in-Chief of Encyclopedia of Statistical Sciences, Second Edition, an Associate Editor of: Journal of American Statistical Association, Communications in Statistics, Annals of Institute of Statistical Mathematics, and Bayesian Statistics.

He is Jointly Appointed Professor in School of Industrial and Systems Engineering - ISyE and Department of Biostatistics at Emory University and Adjunct Professor in Jiann-Ping Hsu College of Public Health, Georgia Southern University. Member of Integrative BioSystems Institute (IBSI), at Georgia Institute of Technology. Center for Bioinformatics and Computational Biology, at Biology Department, Georgia Institute of Technology.

Bibliographic information


From the book reviews:

“This text has resulted from the author’s teaching of introductory statistics to engineering students in the USA. Dealing both with the theoretical aspects of statistical methods and the need to implement software that engineers are familiar with, the book is a delight to read. … I recommend the book to any one intending to use either MATLAB or/and WinBUGS for statistical modelling and analysis.” (Carl M. O’Brien, International Statistical Review, Vol. 81 (3), 2014)

“Although there are many engineering statistics books, this is the first one I have seen devoted to bioengineering. It is a very comprehensive book with many good features. … I would say that Statistics for Bioengineering Sciences would make a wonderful text for a first course in statistics for biomedical engineering students and is a great reference for engineers and statisticians.” (Michael R. Chernick, Technometrics, Vol. 55 (1), February, 2013)