Understanding Clinical Papers, Second Edition:
“What strikes the reader... straight away is clarity… promises to become a recommended text for undergraduate and postgraduate courses." JOURNAL OF TROPICAL PEDIATRICS
“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
“What makes this book unique is that each point presented is illustrated with excerpts from actual papers, often three or four per chapter... this is a very effective teaching device." JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
“This book should be an essential addition to the personal libraries of all health care workers who need to use articles in journals. In these days of evidence-based medicine, this should apply to all physicians, nurses and other health professionals.” ONCOLOGY
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.
Allan House, School of Medicine, University of Leeds, UK
David Owens, School of Medicine, University of Leeds, UK
Preface to the Second Edition.
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 ARE YOU 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. Summarizing the Characteristics of Data.
13. Measuring the Characteristics of Subjects.
14. Measuring the Characteristics of Measures.
15. Measurement Scales.
PART V ESTABLISHING MORE OF THE FACTS: SOME COMMON WAYS OF DESCRIBING RESULTS.
16. Fractions, Proportions and Rates.
17. Risk and Odds.
18. Ratios of Risk and Odds.
PART VI ANALYSING THE DATA: ESTIMATION AND HYPOTHESIS TESTING.
19. Confidence Intervals for Means, Proportions, and Medians.
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.
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.
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