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New PDF release: A Clinician's Guide to Statistics and Epidemiology in Mental

By S. Nassir Ghaemi

ISBN-10: 052170958X

ISBN-13: 9780521709583

Available and clinically proper, A Clinician's advisor to statistical data and Epidemiology in psychological well-being describes statistical recommendations in simple English with minimum mathematical content material, making it ideal for the busy healthcare professional. utilizing transparent language in favour of advanced terminology, barriers of statistical strategies are emphasised, in addition to the significance of interpretation - in preference to 'number-crunching' - in research. Uniquely for a textual content of this type, there's vast assurance of causation and the conceptual, philosophical and political components concerned, with forthright dialogue of the pharmaceutical industry's function in psychiatric examine. through making a higher realizing of the area of study, this publication empowers wellbeing and fitness pros to make their very own judgments on which data to think - and why.

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

Example text

Was this study designed to show that if you took antidepressants for a few months after stroke, you would be more likely to be alive a decade later? Clearly not. The study was designed to show that antidepressants improved depression 3 months after stroke. This paper, published in AJP in 2003, does not even report the original findings of the study (not that it matters); the point is that one gets the impression that this study (of 9-year mortality outcomes) stands on its own, as if it had been planned all along, whereas the more clear way of reporting the study would have been to say that after a 3 month RCT, the researchers decided to check on their patients a decade later to examine mortality as a post-hoc outcome (an outcome they decided to examine long after the study was over).

Measurement bias is also sometimes called misclassification bias, especially in observational studies, when outcomes are inaccurately assessed. , rating scales for mania are not used usually in clinical practice), and then we recorded those assessments poorly (the charts might be messy, with brief notes rather than extensive descriptions). With such material, it is likely that at least mild hypomanic or manic episodes would be missed and reported as not existing. The extent of such misclassification bias can be hard to determine.

2003). 005). The abstract concludes: “Treatment with fluoxetine or nortriptyline for 12 weeks during the first 6 months post stroke significantly increased the survival of both depressed and nondepressed patients. ” Now this is quite a claim: if you have a stroke and are depressed, only three months of treatment with antidepressants will keep you alive longer for up to a decade. The observation seems far-fetched biologically, but it did come from an RCT; it should be valid. 16 Chapter 4: Types of bias Once one moves from the abstract to the paper, one begins to see some questions rise up.

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A Clinician's Guide to Statistics and Epidemiology in Mental Health: Measuring Truth and Uncertainty by S. Nassir Ghaemi

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