A clinician's guide to statistics and epidemiology in mental health : measuring truth and uncertainty

Author(s)

Bibliographic Information

A clinician's guide to statistics and epidemiology in mental health : measuring truth and uncertainty

S. Nassir Ghaemi

Cambridge University Press, 2009

  • : pbk

Available at  / 6 libraries

Search this Book/Journal

Note

Description based on: 3rd printing, 2011

Includes bibliographical references (p. [138]-143) and index

Description and Table of Contents

Description

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.

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.

by "Nielsen BookData"

Details

Page Top