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Important causes of non-replication include inadequate statistical power to detect small and moderate effects, phenotype heterogeneity, population stratification, publication bias, and multiple comparison testing.
Where there were significant differences among the treatment least square means, a Tukey's honestly significant difference (HSD) test was used to undertake multiple comparison testing.
Each of these associations survives correction for multiple comparison testing.
Thus, consecutive multiple comparison testing was applied to identify those pairs of trial types for which RTs differed from each other.
Bonferroni adjustments for multiple comparison testing were used to assess the DAVID pathways, whereas the KEGG analysis relied on simple gene counts.
Statistical differences in the levels of phosphorylation, the order parameters (cf., Eqn. 5), or cell area between groups were evaluated by ANOVA followed by Student-Newman-Keuls posthoc multiple comparison testing.
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Data were analyzed using Kruskal Wallis multiple comparison tests.
LSD was used for multiple comparison test.
One-way ANOVA with Bonferroni's multiple comparison tests were used for multiple comparisons between data.
Friedman test followed by Dunn's multiple comparison test: CD4+CD8+ vs. CD4+CD45RA+ **p < 0.01.
*Significantly different from the pre-stress levels (30 min) p <.05 Newman-Keuls multiple comparison test.
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