Essential Medical Statistics has been comprehensively revised and updated to include modern statistical analysis, while retaining the approachable and non-mathematical style of the first edition.

Includes coverage on:

• regression models
• multiple linear regression
• logistic regression
• Poisson regression and Cox regression
• regression modelling

Contents

Analysis of numerical outcomes

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

Analysis of binary outcomes

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

Longitudinal studies: Analysis of rates and survival times

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

Statistical modelling

25. Likelihood
26. Regression modelling
27. Relaxing model assumptions
28. Analysis of clustered data
29. Systematic reviews and meta-analysis
30. Bayesian statistics

Study design, analysis and interpretation

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

Index

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