Sentence examples for multiple testing adjusting from inspiring English sources

The multiple testing adjusting method for P-values is the Benjamini and Hochberg algorithm.

Only 60 CpGs revealed significant association upon adjustment for multiple testing (adjusted P < 0.05; Fig.  1b).

For drug screen data, probesets were selected for further analysis if the fold change was greater than 2 and multiple testing adjusted p-value using Benjamini and Hochberg procedure (BH-adjusted p-value) was less than 0.05 [37].

Multiple testing adjusted significant thresholds to the 5%-level were determined by Bonferroni-adjustment or by permutation test (50 000 permutations, to account for correlations between cognitive phenotypes).

Probes were selected for further analysis if the fold-induction was greater than 2 and multiple testing adjusted the p-value to less than 0.05 using Benjamini and Hochberg procedure (BH-adjusted p-value) [28].

This excess is not significant when corrected for multiple testing (adjusted P = 0.21).

Multiple testing adjusted significances (Bonferroni: p≤0.0045) are set in boldfaces, all other p-values≤0.05 in italic.

The Benjamini and Hochberg method was used to adjust the p-values for multiple testing (adjusted p-value < 0.05).

Multiple testing adjusted significances (applying Bonferroni (p≤ 0.007) and the closed testing principle) are set in boldface.

In our examples, we use the commonly accepted multiple testing adjusted significance threshold of p < 5 × 10−8[ 15].

Multiple testing adjusted significances are set in boldface (p≤0.0083 for components of higher cognition composite, p≤0.0167 for emotional processing items).