Group data tests that compare groups within or between subjects. All tests are based on randomization-permutation
theory are distribution free (no assumption of normality) and control the rate of false positive in the most strict way [control
of the Family-wise error, i.e., the chance of committing even only one Type I error (false positive) is less than alpha (0.05)].
Customized statistical analysis specifically designed for your study.
Statistics are computed using
the latest versions of state of the art software and methods. Analyses are performed by our expert staff and consultants.
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