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Such corrections may be applied when multiple comparisons are tested in the same experimental system for the same end points and have the same likelihood for false-positive findings.
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Statistical significance of comparisons was tested by the Student's t test, using GraphPad Instat programs (GraphPad Software Inc., San Diego).
These comparisons were tested using generalized estimating equations (GEE) implemented in the R based package APE [16], [17].
Multiple comparisons were tested using ANOVA plus post hoc Holm-Sidak and differences between groups tested via two-tailed Student's t-test.
Pair-wise comparisons were tested using a t-test.
Intergroup comparisons were tested by the Mann-Whitney U test.
Post-hoc pairwise comparisons were tested using paired t-tests.
Significance of pairwise population comparisons was tested by 20,000 permutations.
Two way comparisons were tested with simple and paired t-tests; three way comparisons were tested with analysis of variance (ANOVA).
Group comparisons were tested using t-tests or Chi-Square test.
Single comparisons were tested for significance using the unpaired t-test and Mann-Whitney U test.
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