Other available formats:
Looking for an examination copy?
If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact firstname.lastname@example.org providing details of the course you are teaching.
Accessible and clinically relevant, A Clinician's Guide to Statistics and Epidemiology in Mental Health describes statistical concepts in plain English with minimal mathematical content, making it perfect for the busy health professional. Using clear language in favour of complex terminology, limitations of statistical techniques are emphasized, as well as the importance of interpretation - as opposed to 'number-crunching' - in analysis. Uniquely for a text of this kind, there is extensive coverage of causation and the conceptual, philosophical and political factors involved, with forthright discussion of the pharmaceutical industry's role in psychiatric research. By creating a greater understanding of the world of research, this book empowers health professionals to make their own judgments on which statistics to believe - and why.Read more
- An accessible overview of statistics without the jargon or mathematics
- Tailored to the needs of mental health professionals
- Explains when and when not to believe statistics
Reviews & endorsements
"Overall, the book is one of the more thought-provoking of its genre, and reminiscent of the writings of Kenneth Rothman."
--Doody's Review Service
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Date Published: July 2009
- format: Paperback
- isbn: 9780521709583
- length: 166 pages
- dimensions: 235 x 157 x 9 mm
- weight: 0.29kg
- contains: 1 b/w illus. 5 tables
- availability: Available
Table of Contents
Part I. Basic Concepts:
1. Why data never speak for themselves
2. Why you cannot believe your eyes: the three C's
3. Levels of evidence
Part II. Bias:
4. Types of bias
Part III. Chance:
7. Hypothesis testing: the dreaded p-value and statistical significance
8. The use of hypothesis testing statistics in clinical trials
9. The alternative effect estimation
Part IV. Causation:
10. What does causation mean?
11. A philosophy of statistics
Part V. The Limits of Statistics:
12. Evidence-based medicine: defense and criticisms
13. The alchemy of meta-analysis
14. Bayesian statistics: why your opinion counts
Part VI. The Politics of Statistics:
15. How journal articles get published
16. How scientific research impacts practice
17. Dollars, data, and drugs
18. Bioethics and the clinician/researcher divide
Appendix. Regression models and multivariable analysis.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email email@example.comRegister Sign in
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×
Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.×