Journal
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
Volume 30, Issue 9, Pages 1558-1563Publisher
SAGE PUBLICATIONS INC
DOI: 10.1038/jcbfm.2010.95
Keywords
contrast; factorial design; multiple comparisons; one-way ANOVA; Tukey's procedure; two-way ANOVA
Categories
Funding
- Deutsche Forschungsgemeinschaft DFG [Schl 3-1]
- European Union [FP7/2008-2013, 201024, 202213]
- German Ministry for Health and Education (BMBF)
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A common setting in experimental cerebrovascular research is the comparison of more than two experimental groups. Often, continuous measures such as infarct volume, cerebral blood flow, or vessel diameter are the primary variables of interest. This article presents the principles of the statistical analysis of comparing more than two groups using analysis of variance (ANOVA). We will also explain post hoc comparisons, which are required to show which groups significantly differ once ANOVA has rejected the null hypothesis. Although statistical packages perform ANOVA and post hoc contrast at a key stroke, in this study, we use examples from experimental stroke research to reveal the simple math behind the calculations and the basic principles. This will enable the reader to understand and correctly interpret the readout of statistical packages and to help prevent common errors in the comparison of multiple means. Journal of Cerebral Blood Flow & Metabolism (2010) 30, 1558-1563; doi:10.1038/jcbfm.2010.95; published online 23 June 2010
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