This new edition of Medical Statistics at a Glance:

• contains a second colour throughout to enhance the visual appeal

• presents the key facts accompanied, where appropriate, by clear and informative tables and diagrams

• features worked examples in each chapter, with emphasis on the interpretation of computer data analysis rather than on complex hand calculations

• includes new chapters entitled Rates and Poisson regression, Generalized linear models, Explanatory variables in statistical models and Regression models for clustered data

• has an accompanying website http://www.medstatsaag.com/containing supplementary material including an extensive reference list and multiple choice questions (MCQs) with interactive answers for self-assessment.

Medical Statistics at a Glancewill appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines.

Reviews of the last edition

‘All in all, this is a book that I would highly recommend to the target audience. Concise, accurate, broad coverage, in an easy-to-use format… buy this and you will have the best set of lecture notes in the class!’

The Statistician, 2001

‘The more familiar I have become with this book, the more I appreciate the clear presentation and unthreatening prose.’

Journal of Epidemiology

‘...I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book.’

4th year medical student, Barts and the LondonChronicle, Spring 2003

“an excellent job of making medical statistics as relevant and painless as it possibly could be…if statistics give you headaches buy it”

GKT Gazette

“It is now a valuable companion to my statistics course”

International Journal of Epidemiology

“As one who generally has not got a clue whenit comes to statistics, this is a book I would definitely recommend”

Surgo: Glasgow University Medical Journal

“This book…was actually enjoyable to read”

Cambridge Medicine

“Nothing is too obscure, there are lots of worked examples, and clear diagrams. Go Buy!”

Sphincter – Liverpool Medical Students Society Journal

...I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book."

4th Year Medical Student. Barts and the London Chronicle, Spring 2003, vol.5, issue 1

The authors have provided a basic introduction to the underlying concepts of medical statistics and a guide to the most commonly used statistical procedures. Topics describing a statistical technique are accompanied by a worked example, using real data, illustrating its use. Where possible, the same data set has been used in more than one topic to reflect the reality of data analysis. Detailed and complex hand calculations have been avoided with a concentration on the interpretation of computer data analysis.

Medical Statistics at a Glance is versatile in its use as an explanation, a revision summary and a long-term source of reference.

Worked examples to accompany each topic.

Emphasis on computer analysis of data rather than hand calculations.

Supported by a website at http: //www.medstatsaag.com/ - this site contains useful self-assessment questions to aid student learning.

This new edition of Medical Statistics at a Glance:

• contains a second colour throughout to enhance the visual appeal

• presents the key facts accompanied, where appropriate, by clear and informative tables and diagrams

• features worked examples in each chapter, with emphasis on the interpretation of computer data analysis rather than on complex hand calculations

• includes new chapters entitled Rates and Poisson regression, Generalized linear models, Explanatory variables in statistical models and Regression models for clustered data

• has an accompanying website http://www.medstatsaag.com/containing supplementary material including an extensive reference list and multiple choice questions (MCQs) with interactive answers for self-assessment.

Medical Statistics at a Glancewill appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines.

Reviews of the last edition

‘All in all, this is a book that I would highly recommend to the target audience. Concise, accurate, broad coverage, in an easy-to-use format… buy this and you will have the best set of lecture notes in the class!’

The Statistician, 2001

‘The more familiar I have become with this book, the more I appreciate the clear presentation and unthreatening prose.’

Journal of Epidemiology

‘...I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book.’

4th year medical student, Barts and the LondonChronicle, Spring 2003

“an excellent job of making medical statistics as relevant and painless as it possibly could be…if statistics give you headaches buy it”

GKT Gazette

“It is now a valuable companion to my statistics course”

International Journal of Epidemiology

“As one who generally has not got a clue whenit comes to statistics, this is a book I would definitely recommend”

Surgo: Glasgow University Medical Journal

“This book…was actually enjoyable to read”

Cambridge Medicine

“Nothing is too obscure, there are lots of worked examples, and clear diagrams. Go Buy!”

Sphincter – Liverpool Medical Students Society Journal

Professor Caroline Sabin, Department of Primary Care and Population Sciences, Royal Free Hospital, London

Handling data.

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.

10. Sampling and sampling distributions.

11. Confidence Intervals.

Study design.

12. Study design I.

13. Study design II.

14. Clinical trials.

15. Cohort studies.

16. Case-control studies.

Hypothesis testing.

17. Hypothesis testing.

18. Errors in hypothesis testing.

Basic techniques for analysing dataNumerical data.

19. A single group.

20. Two related groups.

21. Two unrelated groups.

22. More than two groupsCategorical data.

23. A single proportion.

24. Two proportions.

25. More than two categoriesRegression and correlation.

26. Correlation.

27. The theory of linear regression.

28. Performing a linear regression analysis.

29. Multiple linear regression analysis.

30. Binary outcomes and logistic regression31. Rates and Poisson regression.

32. Generalized linear models.

33. Explanatory variables in statistical models.

34. Issues in statistical modelling .

Important considerations.

35. Checking assumptions.

36. Sample size calculations.

37. Presenting results.

Additional topics.

38. Diagnostic tools.

39. Assessing agreement.

40. Evidence-based medicine.

41. Methods for clustered data.

42. Regression methods clustered data.

43. Systematic reviews and meta-analysis.

44. Survival analysis.

45. Bayesian methods.

Appendices.

A. Statistical tables.

B. Altman’s nomogram for sample size calculations.

C. Typical computer output.

D. Glossary of terms.

Index