Transformation of arbitrary distributions to the normal distribution with application to EEG test–retest reliability

• Published in: Journal of neuroscience methods Vol. 161; no. 2; pp. 205 - 211
• Main Authors: van Albada, S.J., Robinson, P.A.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.04.2007
• Subjects: Algorithms; Box–Cox; Data Interpretation, Statistical; Diagnosis, Computer-Assisted - methods; EEG; Electroencephalography - methods; Humans; Normal transformation; Parametric statistics; Reproducibility of Results; Sensitivity and Specificity; Statistical Distributions; Test–retest reliability; Test–retest reliability; Box–Cox; Parametric statistics; EEG; Normal transformation

Many variables in the social, physical, and biosciences, including neuroscience, are non-normally distributed. To improve the statistical properties of such data, or to allow parametric testing, logarithmic or logit transformations are often used. Box–Cox transformations or ad hoc methods are someti...