Preface; Acknowledgements; 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; 5. Randomization; 6. Regression; 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.
Describes statistical concepts in plain English with minimal mathematical content, giving an insight into which statistics to believe - and why.
S. Nassir Ghaemi MD MPH is Professor of Psychiatry at Tufts University School of Medicine, and Director of the Mood Disorders and Psychopharmacology Programs, Department of Psychiatry, Tufts Medical Center, Boston, Massachusetts, USA.
'Excellent ... unique and completely original ... Clinicians will
gain a better understanding of how to apply research to their
practice. Researchers will be able to improve their research by
increasing their awareness of the misuse of statistical methods.'
The Canadian Journal of Psychiatry
'... nuanced explanations and reasoning ...' Doody's Reviews
'... uses a lot of relevant clinical examples ... easy to read introduction ... Excellent.' BMA Medical Book Awards reviewer
"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