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. Perfect for the busy health professional who wants to know which statistics to believe - and why.Table of Contents PrefaceAcknowledgementsPart I. Basic Concepts: 1. Why data never speak for themselves2. Why you cannot believe your eyes: the three C's3. Levels of evidencePart II. Bias: 4. Types of bias: 5. Randomization6. RegressionPart III. Chance: 7. Hypothesis testing: the dreaded p-value and statistical significance8. The use of hypothesis testing statistics in clinical trials9. The alternative effect estimationPart IV. Causation: 10. What does causation mean?11. A philosophy of statisticsPart V. The Limits of Statistics: 12. Evidence-based medicine: defense and criticisms13. The alchemy of meta-analysis14. Bayesian statistics: why your opinion countsPart VI. The Politics of Statistics: 15. How journal articles get published16. How scientific research impacts practice17. Dollars, data, and drugs18. Bioethics and the clinician/researcher divideAppendix. Regression models and multivariable analysis.
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Titolo: A Clinician' s Guide to Statistics and Epidemiology in Mental Health - Measuring Truth and Uncertainty
Editore: Cambridge University Press
Finitura: Copertina flessibile
Misure: 15x23 cm
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