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.
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