Sentence examples for multiple testing comparisons from inspiring English sources

Benjamini-Hochberg corrections for multiple testing comparisons were performed as indicated [32].

Statistical significance was evaluated using the R statistics software by a series of t-tests comparing the difference in proportion of BE cells between day 0 and day 14 at 0 μM and 500 μM Vitamin C. Using a Bonferroni correction for multiple testing, comparisons with a p-value less than 0.00625 were considered significant.

In case of multiple testing (comparison of more than two groups) significant values were corrected with Bonferroni procedure.

In case of multiple testing (comparison of more than two groups), significant values were corrected with Bonferroni Holm or Shaffer's procedure as appropriate.

These OLPs were weakly associated with HLA-B*57 expression, but these associations did not survive multiple test comparisons (described below, Table S2).

Bonferroni correction was used for multiple test comparisons.

Adjustments for multiple test comparisons were based on univariate and multivariate permutation test.

Statistical significance and adjustments for multiple test comparisons were based on univariate and multivariate permutation test as previously described.

The Bonferroni correction was employed to adjust P-values for multiple test comparisons using the p.adjust package in R [ 86].

Bonferroni adjustment was applied to the P-values to account for multiple test comparisons; differences were significant at P < 0.05.

Only position 16131 showed a weak significant nominal p values (p value = 0.0062) that is not significant when corrected for multiple test comparisons (Table 2).