Contents list

Part A. Basics

1. Using this book
2. Defining the data
3. Displaying the data

Part B. Analysis of numerical outcomes

4. Means, Standard Deviations and Standard Errors
5. The Normal Distribution
6. Confidence Interval for a Mean
7. Comparison of two means: confidence intervals, hypothesis tests and P values
8. Using P values and confidence intervals to interpret the results of statistical analyses
9. Comparison of means from several groups - analysis of variance
10. Linear Regression and Correlation
11. Multiple Regression
12. Goodness of fit and regression diagnostics
13. Transformations

Part C. Analysis of binary outcomes

14. Probability, risks and odds (of disease)
15. Proportions and the binomial distribution
16. Comparing two proportions
17. Chi-squared tests for 2 × 2 and larger contingency tables
18. Controlling for confounding: stratification
19. Logistic regression: comparing two or more exposure groups
20. Logisitic regression: controlling for confounding and other extensions
21. Matched studies

Part D. Longitudinal studies: Analysis of rates and survival times

22. Longitudinal studies, rates and the Poisson distribution
23. Comparing rates
24. Poisson regression
25. Standardisation
26. Survival analysis: displaying and comparing survival patterns
27. Regression analysis of survival data

Part E. Statistical modelling

28. Likelihood
29. Regression modelling
30. Relaxing model assumptions
31. Analysis of clustered data
32. Systematic reviews and meta-analysis
33. Bayesian statistics

Part F. Study design, analysis and interpretation

34. Linking analysis to study design: summary of methods
35. Calculation of Required Sample Size
36. Measurement error: assessment and implications
37. Measures of association and impact
38. Strategies for analysis

APPENDIX: Statistical Tables

Bibliography

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