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Thus, using an initial significance level of P = 0.05, after Bonferroni correction (two measures, two paired t-tests each), the adjusted significance level applied was P = 0.01.
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A Bonferroni adjustment (Holm, 1979), using an initial α of 0.05, was used to assess the statistical significance of multiple P-values.
In each analysis, Bonferroni correction for the number of markers tested was applied to an initial significance threshold of P = 0.05, setting a final significance threshold.
Statistical significance was assessed using a significance level of 0.05.
In our initial statistical analysis on baseline data using the standard voxel-based morphometry (VBM) approach, we identified trends for diabetes duration (e.g., regions with significance P < 0.01), but no regions showed significance after false discovery rate (FDR) correction (24) using a significance threshold of q ≤ 0.05.
Specifically, a cluster-based correction (36) with an initial threshold of Z = 2.3 followed by correction over the whole brain using a significance level of p <.05 was used.
A p-value of 0.05 was used as an initial cut-off for significance.
All analyses used a 5% significance level.
All tests used a 0.05 significance level.
The significance of explanatory variables was evaluated using a 0.05 level of significance.
A Bonferroni significance level was used as an initial criterion for rejecting the null hypothesis of a significant treatment effect (0.05/6769).
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