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Engineering biostatistics : an introduction using MATLAB and WinBUGS / Brani Vidakovic.

By: Material type: TextTextSeries: Wiley series in probability and statisticsPublication details: Hoboken, NJ : John Wiley & Sons, ©2017.Description: xvii, 964 pages : illustrations (some color) ; 26 cmISBN:
  • 9781119168966
Subject(s): DDC classification:
  • 000SB:570  23 V648
Contents:
1. Introduction -- 2. The sample and its properties -- 3. Probability, conditional probability, and bayes' rule -- 4. Sensitivity, specificity, and relatives -- 5. Random variables -- 6. Normal distribution -- 7. Point and interval estimators -- 8. Bayesian approach to inference -- 9. Testing statistical hypotheses -- 10. Two samples -- 11. ANOVA and elements of experimental design -- 12. Models for tables -- 13. Correlation -- 14. Regression -- 15. Regression for binary and count data -- 16. Inference for censored data and survival analysis -- 17. Goodness of fit tests -- 18. Distribution-free methods -- 19. Bayesian inference using gibbs sampling : BUGS project.
Summary: Provides a one-stop resource for engineers learning biostatistics using MATLAB (R) and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers.
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Includes bibliographical references and index.

1. Introduction --
2. The sample and its properties --
3. Probability, conditional probability, and bayes' rule --
4. Sensitivity, specificity, and relatives --
5. Random variables --
6. Normal distribution --
7. Point and interval estimators --
8. Bayesian approach to inference --
9. Testing statistical hypotheses --
10. Two samples --
11. ANOVA and elements of experimental design --
12. Models for tables --
13. Correlation --
14. Regression --
15. Regression for binary and count data --
16. Inference for censored data and survival analysis --
17. Goodness of fit tests --
18. Distribution-free methods --
19. Bayesian inference using gibbs sampling : BUGS project.

Provides a one-stop resource for engineers learning biostatistics using MATLAB (R) and WinBUGS Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers.

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