MCQs

(MCQs for previous editions of this book are available here: First edition MCQs; Second edition MCQs.)

Each MCQ provides a list of statements, at least one of which is correct.
You will score a point if all your answers are correct for a particular MCQ.

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)

• 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