Statistics in pharmacology
- PMID: 17618311
- PMCID: PMC2042957
- DOI: 10.1038/sj.bjp.0707371
Statistics in pharmacology
Abstract
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.
Comment on
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Good statistical practice in pharmacology. Problem 2.Br J Pharmacol. 2007 Oct;152(3):299-303. doi: 10.1038/sj.bjp.0707372. Epub 2007 Jul 9. Br J Pharmacol. 2007. PMID: 17618310 Free PMC article.
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Good statistical practice in pharmacology. Problem 1.Br J Pharmacol. 2007 Oct;152(3):295-8. doi: 10.1038/sj.bjp.0707370. Epub 2007 Jul 9. Br J Pharmacol. 2007. PMID: 17618312 Free PMC article.
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- Festing MF. Principles: the need for better experimental design. Trends Pharmacol Sci. 2003;24:341–345. - PubMed
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