| Statistics in pharmacology. | |
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MedLine Citation:
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PMID: 17618311 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Statistics is an important tool in pharmacological research that is used to summarize (descriptive statistics) experimental data in terms of central tendency (mean or median) and variance (standard deviation, standard error of the mean, confidence interval or range) but more importantly it enables us to conduct hypothesis testing. This is of particular importance when attempting to determine whether the pharmacological effect of one drug is superior to another which clearly has implications for drug development and getting that next paper published in a respectable journal! Therefore, it is essential for pharmacologists to have an understanding of the uses and abuses of statistics. With this in mind, the British Journal of Pharmacology has commissioned a number of review articles to highlight the uses of statistics in experimental design and analysis. |
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Authors:
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D Spina |
Publication Detail:
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Type: Comment; Journal Article Date: 2007-07-09 |
Journal Detail:
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Title: British journal of pharmacology Volume: 152 ISSN: 0007-1188 ISO Abbreviation: Br. J. Pharmacol. Publication Date: 2007 Oct |
Date Detail:
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Created Date: 2007-10-01 Completed Date: 2008-01-16 Revised Date: 2009-11-18 |
Medline Journal Info:
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Nlm Unique ID: 7502536 Medline TA: Br J Pharmacol Country: England |
Other Details:
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Languages: eng Pagination: 291-3 Citation Subset: IM |
Affiliation:
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Kings College London, Pharmaceutical Science Research Division, The Sackler Institute of Pulmonary Pharmacology, School of Biomedical and Health Science, Guy's Campus, London, UK. domenico.spina@kcl.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Animals Data Interpretation, Statistical* Drug Design Humans Pharmacology / methods* Research Design* Statistics as Topic |
| Comments/Corrections | |
Comment On:
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Br J Pharmacol. 2007 Oct;152(3):295-8
[PMID:
17618312
]
Br J Pharmacol. 2007 Oct;152(3):299-303 [PMID: 17618310 ] |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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