A Clinician's Guide to Statistics and

Most books on statistics and epidemiology in mental health are heavy on mathematics or statistical concepts and terminology; clinicians can have a difficult time understanding them. Mental health professionals need an accessible and clinically relevant book.

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.

Preface	p. xi
Acknowledgements	p. xiii
Basic concepts
Why data never speak for themselves	p. 1
Why you cannot believe your eyes: the Three C's	p. 5
Levels of evidence	p. 9
Bias
Types of bias	p. 13
Randomization	p. 21
Regression	p. 27
Chance
Hypothesis-testing: the dreaded p-value and statistical significance	p. 35
The use of hypothesis-testing statistics in clinical trials	p. 45
The better alternative: effect estimation	p. 61
Causation
What does causation mean?	p. 71
A philosophy of statistics	p. 81
The limits of statistics
Evidence-based medicine: defense and criticism	p. 87
The alchemy of meta-analysis	p. 95
Bayesian statistics: why your opinion counts	p. 101
The politics of statistics
How journal articles get published	p. 113
How scientific research impacts practice	p. 117
Dollars, data, and drugs	p. 121
Bioethics and the clinician/researcher divide	p. 127
Appendix	p. 131
References	p. 138
Index	p. 144
Table of Contents provided by Ingram. All Rights Reserved.

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

Summary

Author Biography

Table of Contents

Supplemental Materials