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A Clinician's Guide to Statistics and Epidemiology in Mental Health
Measuring Truth and Uncertainty

$71.99 (M)

  • Author: S. Nassir Ghaemi, Tufts University School of Medicine, Boston, Massachusetts
  • Date Published: July 2009
  • availability: Available
  • format: Paperback
  • isbn: 9780521709583

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About the Authors
  • 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, making it perfect for the busy health professional. Using clear language in favour of complex terminology, limitations of statistical techniques are emphasized, as well as the importance of interpretation - as opposed to 'number-crunching' - in analysis. Uniquely for a text of this kind, there is extensive coverage of causation and the conceptual, philosophical and political factors involved, with forthright discussion of the pharmaceutical industry's role in psychiatric research. By creating a greater understanding of the world of research, this book empowers health professionals to make their own judgments on which statistics to believe - and why.

    • An accessible overview of statistics without the jargon or mathematics
    • Tailored to the needs of mental health professionals
    • Explains when and when not to believe statistics
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    Reviews & endorsements

    "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

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    Product details

    • Date Published: July 2009
    • format: Paperback
    • isbn: 9780521709583
    • length: 166 pages
    • dimensions: 235 x 157 x 9 mm
    • weight: 0.29kg
    • contains: 1 b/w illus. 5 tables
    • availability: Available
  • Table of Contents

    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.

  • Author

    S. Nassir Ghaemi, Tufts University School of Medicine, Boston, Massachusetts
    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.

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