title: 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.
authors.affiliation: 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
authors.forename: D
authors.initials: D
authors.lastname: Spina
mesh_terms: D000818:Animals; D003627:Data Interpretation, Statistical; D015195:Drug Design; D006801:Humans; D010600:Pharmacology / Q000379:methods*; D012107:Research Design; D013223:Statistics as Topic