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Bootstrap statistics were used to assess the significance of direct and indirect effects on AH-proneness.
Bootstrapping statistics were used on the data from the RGS9-NR1 mutands and littermate controls to validate the results from the post hoc tests.
For statistical analyses bootstrapping (10000 resamplings each, 2-sided t-test, routine "FTBOOT "from the package„ computer intensive statistics") was used as a well proven method when working with a relatively low number of samples and high variances [51].
The Gene Set Analysis (GSA) package in R was used to define significantly enriched gene categories, here the "Maxmean" statistics was used to calculate enrichment scores, and permutation based p-values were derived from 1000 bootstrap replicates.
Statistics are used to describe the world.
Nonparametric statistics were used.
Descriptive statistics are used.
GLM [62] statistics were used.
Non-parametric statistics were used throughout.
Otherwise, transformed or nonparametric statistics were used.
Survey statistics were used.
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