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

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, l...

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Bibliographic Details
Main Author: Ghaemi, S. Nassir (Author)
Format: Book
Language:English
Published: Cambridge, UK Cambridge University Press 2009
Subjects:
Online Access:Click Here to View Status and Holdings.
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245 1 2 |a A clinician's guide to statistics and epidemiology in mental health  |b measuring truth and uncertainty  |c S. Nassir Ghaemi 
246 3 0 |a Statistics and epidemiology in mental health 
264 # 1 |a Cambridge, UK  |b Cambridge University Press  |c 2009 
264 # 4 |c ©2009 
300 # # |a xii, 151 pages  |b illustrations  |c 24 cm 
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338 # # |a volume  |b nc  |2 rdacarrier 
504 # # |a Includes bibliographical references and index 
505 0 # |a Why data never speak for themselves -- Why you cannot believe your eyes : the three C's -- Levels of evidence -- Types of bias -- Randomization -- Regression -- Hypothesis testing : the dreaded p-value and statistical significance -- The use of hypothesis testing statistics in clinical trials -- The better alternative : effect estimation -- What does causation mean? -- A philosophy of statistics -- Evidence-based medicine : defense and criticism -- The alchemy of meta-analysis -- Bayesian statistics : why your opinion counts -- How journal articles get published -- How scientific research impacts practice -- Dollars, data, and drugs -- Bioethics and the clinician/researcher divide 
520 # # |a 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 
650 1 2 |a Psychiatry  |x methods 
650 2 2 |a Statistics as Topic  |x methods 
650 2 2 |a Mental Disorders  |x epidemiology 
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