A Clinician's Guide to Statistics in Mental Health
A Clinician's Guide to Statistics in Mental Health
$37.00
USDThe second edition of a clear and accessible guide to the application of statistics in psychiatric practice. The book expertly describes statistical concepts in clear and simple terms, with minimal mathematical content, making it the ideal resource for busy mental health professionals. Fully revised throughout, it features five new chapters covering key advances in the field and important topics in greater detail. Amongst the key concepts discussed in this edition are the logic of randomization, clinical trials, the overuse of p-values, understanding effect sizes, meta-analysis and why clinical experience is limited by observational confounding bias. Featuring a wealth of clinical examples, on topics of high importance or controversy in psychiatry, plus explanations and reasoning, to give clinicians a better understanding of how to apply research to their practice.
- An accessible overview of statistics without the jargon or mathematics, making this an ideal resource for clinicians of all levels
- Tailored to the specific needs of the psychiatric clinician with a focus on statistics as applied to psychiatric research and practice
- Content is comprehensive and not limited to the technicalities of statistics, including a discussion of social and economic factors in statistics that provides readers with a holistic sense of the field
Reviews & endorsements
‘This book provides a value of knowledge far beyond this concise paperback. The author highlights how most clinical researchers, as well as clinicians in psychiatry, have limited formal education or understanding of statistics, leading to a constricted ability to interpret and analyze clinical publications that influence our daily practice, much less understand how to weigh the overall validity of a study.' Carlie Horvitz, Doody's Reviews
Product details
March 2023Paperback
9781108814966
174 pages
234 × 156 × 9 mm
0.31kg
Available
Table of Contents
- 1. Why data never speak for themselves
- 2. Why you cannot believe your eyes
- 3. Levels of evidence
- 4. Bias
- 5. Randomization
- 6. Clinical trials: improving on clinical experience
- 7. The p-value: uses and misuses
- 8. Forget p-values: the importance of effect sizes
- 9. Understanding placebo
- 10. Understanding confidence intervals
- 11. Observational studies
- 12. The alchemy of meta-analysis
- 13. Bayesian statistics: why your opinion counts
- 14. Causation
- 15. A philosophy of statistics
- 16. Evidence-based medicine: defense and criticism
- 17. Social and economic factors: peer review, funding, and the conventional wisdom
- 18. The new canon of psychopharmacology (STAR*D, STEP-BD, CATIE): how clinical trials are misinterpreted
- 19. False positive maintenance clinical trials in psychiatry
- 20. How to analyze a study
- Appendix. Understanding regression
- Index.
