1. What Are Statistics? 2. Populations and Samples. 3. Random Sampling. 4. Presenting Data. 5. Frequencies, Percentages, Proportions and Rates. 6. Types of Data. 7. Mean, Median and Mode. 8. Centiles. 9. Standard Deviation. 10. Standard Error. 11. Normal Distribution. 12. Confidence Intervals. 13. Probability. 14. Hypothesis Tests and P-Values. 15. The t-Tests. 16.Data Checking. 17. Parametric and Non-Parametric Tests. 18. Correlation and Linear Regression. 19. Analysis of Variance and Some Other Types of Regression. 20. Chi-Squared Test. 21. Statistical Power and Sample Size. 22. Effect Size. 23. What Is Epidemiology? 24. Bias and Confounding. 25. Measuring Disease Frequency. 26. Measuring Association in Epidemiology. 27. Cross-sectional studies. 28. Questionnaires. 29. Cohort Studies. 30. Case–Control Studies. 31. Randomised Controlled Trials. 32. Screening. 33.Evidence-Based Healthcare. Glossary of Terms. Appendix 1-Statistical Tables. Appendix 2-Exercises. Appendix 3-Answers to Exercises. References. Index.
Biography
Professor Antony Stewart, FFPH, Emeritus Professor, Staffordshire University; Honorary Professor in Epidemiology, Aston Medical School; Honorary Consultant in Public Health, Public Health England; Clinical Research Specialty Lead for Public Health, NIHR CRN West Midlands UK
"The author has captured the essence of the most important topics in applied statistics and epidemiology for a healthcare audience."
- Anjali Deshpande, PhD, MPH, University of Iowa College of Public Health
