| 000 | 02803nam a22003498i 4500 | ||
|---|---|---|---|
| 001 | CR9780511581250 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160250.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 090604s2009||||enk o ||1 0|eng|d | ||
| 020 | _a9780511581250 (ebook) | ||
| 020 | _z9780521709583 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aRC467.8 _b.G53 2009 |
| 082 | 0 | 0 |
_a362.2/0422 _222 |
| 100 | 1 |
_aGhaemi, S. Nassir, _eauthor. |
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| 245 | 1 | 2 |
_aA clinician's guide to statistics and epidemiology in mental health : _bmeasuring truth and uncertainty / _cS. Nassir Ghaemi. |
| 246 | 3 | _aA Clinician's Guide to Statistics & Epidemiology in Mental Health | |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2009. |
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| 300 |
_a1 online resource (xii, 151 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 505 | 0 | _aWhy 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 alternative : effect estimation -- What does causation mean? -- A philosophy of statistics -- Evidence-based medicine : defense and criticisms -- 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 | _aAccessible 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 | 0 |
_aPsychiatry _xStatistical methods. |
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| 650 | 0 | _aPsychiatric epidemiology. | |
| 776 | 0 | 8 |
_iPrint version: _z9780521709583 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511581250 |
| 999 |
_c519451 _d519449 |
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