Handling data (Chapters 1-9)

1. Types of data 2. Data entry 3. Error checking and outliers 4. Displaying data graphically 5. Describing data (1): the 'average' 6. Describing data (2): the 'spread' 7. Theoretical distributions (1): the Normal distribution 8. Theoretical distributions (2): other distributions 9. Transformations

Sampling and estimation (Chapters 10-11)

10. Sampling and sampling distributions 11. Confidence intervals

Study design (Chapters 12-16)

12. Study design 1 13. Study design 2 14. Clinical trials 15. Cohort studies 16. Case-control studies

Hypothesis testing (Chapters 17-18)

17. Hypothesis testing 18. Errors in hypothesis testing

Basic techniques for analysing data (Chapters 19-37)

Numerical data

19. A single group 20. Two related groups 21. Two unrelated groups 22. More than two groups

Categorical data

23. A single proportion 24. Two proportions 25. More than two categories

Regression and correlation

26. Correlation 27. The theory of linear regression 28. Performing a linear regression analysis 29. Multiple linear regression 30. Binary outcomes and logistic regression 31. Rates and Poisson regression 32. Generalized linear models 33. Explanatory variables in statistical models

Important Considerations

34. Issues in statistical modelling 35. Checking assumptions 36. Sample size calculations 37. Presenting results

Additional chapters (Chapters 38-46)

38. Diagnostic tools 39. Assessing agreement 40. Evidence-based medicine 41. Methods for clustered data 42. Regression methods for clustered data 43. Systematic reviews and meta-analysis 44. Survival analysis 45. Bayesian methods 46. Developing prognostic scores