1. Uses and abuses of medical statistics.
2. Describing and displaying categorical data.
3. Describing and displaying quantitative data.
4. Probability and decision making.
6. Populations, samples, standard errors and confidence intervals.
7. p-values and statistical inference.
8. Tests for comparing two groups of categorical or continuous data.
9. Correlation and linear regression.
10. Survival analysis.
11. Reliability and methods comparison studies.
12. Observational studies.
13. The randomised controlled trial.
14. Sample size issues.
15. Common pitfalls.
Solutions to exercises.
“This book seems to me to be a very useful course text for an audience of students in the health sciences.” (Biometrics, December 2008)
"This is an excellent text for teaching an introductory course in biostatistics and for those interested in self-study." (The American Statistician, November 2008)
"…this reviewer recommends without any reservation this book for an introductory course in medical statistics." (MAA Reviews, December 28, 2007)
- The statistics in this book is explained solely within the medical and health context and looks at the practical application of statistics and other quantitative methods to medicine and its applied sciences.
- Many statisticians are concerned at the generally poor standard of statistics in papers published in medical journals. Perhaps this could be remedied if more research workers would spare a few hours to read through Campbell and Machin’s book - British Medical Journal.
- Excellent layout of information, learning objectives, test questions and answers all serving to promote the book’s proven effectiveness as a learning tool.