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A Clinician's Guide to Statistics in Mental Health

A Clinician's Guide to Statistics in Mental Health

9781108814966
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Description
The 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.
Product Details
Cambridge University Press
97947
9781108814966
9781108814966

Data sheet

Publication date
2023
Issue number
2
Cover
paperback
Pages count
174
Dimensions (mm)
156.00 x 234.00
Weight (g)
310
  • 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.
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