期刊
FRONTIERS IN HUMAN NEUROSCIENCE
卷 6, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fnhum.2012.00119
关键词
Pearson correlation; Spearman correlation; skipped correlation; outliers; robust statistics; multiple comparisons; multivariate statistics; confidence intervals
Associations between two variables, for instance between brain and behavioral measurements, are often studied using correlations, and in particular Pearson correlation. However, Pearson correlation is not robust: outliers can introduce false correlations or mask existing ones. These problems are exacerbated in brain imaging by a widespread lack of control for multiple comparisons, and several issues with data interpretations. We illustrate these important problems associated with brain behavior correlations, drawing examples from published articles. We make several propositions to alleviate these problems.
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