Biostatistics: A Foundation for Analysis in the Health Sciences, 11th Australia & New Zealand Edition

ISBN: 9781119571728

Biostatistics: A Foundation for Analysis in the Health Sciences, should appeal to the same audience for which the first ten editions were written: advanced undergraduate students, beginning graduate students, and health professionals in need of a reference book on statistical methodology. Now in its eleventh edition, Biostatistics: A Foundation for Analysis in the Health Sciences (Daniel et al.) continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine.

Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organise, summarise, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.


  • Real-world practice through examples and exercises using data from actual research projects and reports.
  • Highlighting of main ideas with bulleted objectives at the start of each chapter.
Wayne W. Daniel
Chad L. Cross
Chapter 1. Introduction to biostatistics
Chapter 2. Descriptive statistics
Chapter 3. Some basic probability concepts
Chapter 4. Probability distributions
Chapter 5. Some important sampling distributions
Chapter 6. Estimation
Chapter 7. Hypothesis testing
Chapter 8. Analysis of variance
Chapter 9. Simple linear regression and correlation
Chapter 10. Multiple regression and correlation
Chapter 11. Regression analysis: Some additional techniques
Chapter 12. The Chi-Square distribution and the analysis of frequencies
Chapter 13. Nonparametric and distribution-free statistics
Chapter 14. Survival analysis
Chapter 15. Vital statistics
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E-Text: 9781119595168
Textbook: 9781119571728