Understanding Clinical Papers

by Bowers, David; House, Allan; Owens, David

• ISBN13: 9780470091302
• ISBN10: 0470091304
• Edition: 2nd
• Format: Paperback
• Copyright: 2006-06-16
• Publisher: WILEY

Summary

Now in its Second Edition, this book helps to unravel the process of evidence-based practice, which requires clinicians to evaluate and collate information from the journals they read. Understanding Clinical Papers, Second Edition uses actual papers to illustrate how to understand and evaluate published research, but goes beyond this to provide an explanation of a range of important research-related topics. Understanding Clinical Papers, Second Edition: Covers everything necessary to understand a clinical research paper Examples are illustrated and based uniquely on tables, abstracts and exerts from published clinical research papers Amazingly clear, lively, accessible style The new edition has been markedly improved and extended, containing, for example, new material on measurement scales, systematic reviews, writing a paper, statistics software and critical appraisal. "The writing style is amazingly clear and does not require formal course work in biostatistics or epidemiology (...). We strongly recommend it for beginners and for easy entry into a complex domain and to experts who we think will enjoy it and who will find it useful as they teach, advise and help others." QUALITY IN HEALTH CARE Understanding Clinical Papers, Second Edition is an invaluable resource for everyone involved directly or indirectly in health care - an ultimate guide for those who read clinical literature.

Author Biography

David Bowers, School of Medicine, University of Leeds, UKBest selling author of Statistics from Scratch and Medical Statistics from Scratch.

Allan House, School of Medicine, University of Leeds, UK

David Owens, School of Medicine, University of Leeds, UK

Table of Contents

Preface.

Acknowledgements.

PART I. SETTING THE SCENE: WHO DID WHAT, AND WHY.

1. Some Preliminaries.

2. The Abstract and Introduction.

3. The Objectives.

PART II. DESIGN MATTERS: WHAT TYPE OF STUDY YOU ARE READING ABOUT.

4. Descriptive Studies.

5. Analytic Studies.

6. Intervention Studies.

PART III. THE CAST: FINDING OUT ABOUT THE SUBJECTS OF THE RESEARCH.

7. The Research Setting.

8. Populations and Samples.

9. Identifying and Defining Cases.

10. Controls and Comparisons

PART IV. ESTABLISHING THE FACTS: STARTING WITH BASIC OBSERVATIONS.

11. Identifying the Characteristics of Data.

12. Summarising the Characteristics of Data.

13. Measuring the Characteristics of Subjects.

14. Measuring the Characteristics of Measures.

15. Measuring Scales.

PART V. ESTABLISHING MORE OF THE FACTS: SOME COMMON WAYS DESCRIBING RESULTS.

16. Fractions, Proportions and Rates.

17. Risk and Odds.

18. Ratios of Risks and Odds.

PART VI. ANALYSING THE DATA: ESTIMATION AND HYPOTHESIS TESTING.

19. Confidence Intervals for Means, Proportions, Medians and their Differences.

20. Confidence Intervals for Ratios.

21. Testing Hypotheses? the P-Value.

PART VII. ANALYSING THE DATA: MULTIVARIABLE METHODS.

22. Measuring Association.

23. Measuring Agreement.

24. The Linear Regression Model.

25. The Logistic Regression Model.

26. Systematic Review and Meta-analysis.

27. Measuring Survival and the Cox Regression Model.

PART VIII. READING BETWEEN THE LINES: HOW AUTHORS USE TEXT, TABLES AND PICTURES TO TELL YOU WHAT THEY'VE DONE.

28. Results in Text and Tables.

29. Results in Pictures.

30. The Discussion and the Conclusions.

References.

Index.