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In effect, the analysis of modulated data tests for regional differences in the absolute amount (volume) of grey matter.
Data were analysed with the following nonparametric statistical methods: Mann Whitney (unpaired data) and Wilcoxon (paired data) tests for comparison of groups, and Spearman's rank correlation test for assessment of the relationships between quantitative variables.
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According to EC data, testing for skin sensitisation accounts for over 5% of the total use of commercial animal tests [3].
Welch's two-sample t test was also applied to the data, testing for each probeset the null hypothesis of no difference between the case and control means.
The results agree with the infinite data test for consistency.
However, we still lack field data testing for a direct association between Wolbachia infection and natural viral load.
Theta-to-gamma CFC was peak-to-peak at higher theta frequencies, and occurred for both successful and unsuccessful encoding (phase-scattered surrogate-data tests for successful and for unsuccessful encoding: p = 0.001).
Paired samples t-tests (for normally distributed continuous data), Wilcoxon tests for paired samples (for ordinal data), McNemar-Bowker tests (for nominal data) and McNemar's tests (for binominal data) were conducted to identify differences between groups.
All data except VAS data were tested for normal distribution.
We compared baseline measures using the t test for parametric data, Mann-Whitney U test for non-parametric data, and χ tests for categorical data.
Data were tested for assumptions of normality and homoscedasticity, and data were arcsine or log transformed accordingly prior to analyses.
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