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Preface to the Fourth Edition. 1. Uses and abuses of medical statistics. 2. Describing and displaying categorical data. 3. Describing and displaying quantitative data. 4. Probability and decision making. 5. Distributions. 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. References. Solutions to exercises. Statistical tables. Index.
Michael J. Campbell. Professor of Medical Statistics, Institute of Primary Care and General Practice, University of Sheffield, UK David Machin. Division of Clinical Trials and Epidemiological Sciences, National Cancer Center, Singapore Stephen Walters. Senior Lecturer in Medical Statistics, Sheffield Health Economics Group, ScHARR, University of Sheffield, UK
"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 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)