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Distributions of observed and random distributed values were calculated using dedicated Perl scripts.
MCRG/IC and biochemical markers with nonnormally distributed values were logarithmically transformed to approximate normal distributions.
Because concentrations were log distributed, values were log-transformed for tests that required a normal distribution.
Each interval is sampled into 11 uniformly distributed values.
Normally distributed values are presented as mean with SD, non-normally distributed values as median with interquartile range (IQR), and proportions with percentages and total numbers.
Non-normally distributed values were log-transformed before analysis.
Non-parametric testsd were used to investigate significance of the differences among independent, not normally distributed values.
The model of distributed discounting and distributed values best fits the data that discounting is hyperbolic even across multiple delays.
Continuous parameters were compared by t test for normally distributed values or otherwise by non-parametric tests.
If parameters were not normally distributed, values before and after infusion were compared by the Wilcoxon Signed Rank Test.
To test differences between group means, the Student's two-tailed t-test was used for normally distributed values and Mann-Whitney U-test for non-normally distributed medians.
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