Sentence examples for multiple testing Bonferroni-corrected from inspiring English sources

Marker information, allelic frequencies, and summary statistics for all evaluated single nucleotide polymorphisms (SNPs) are shown in Table 2. Five of the 19 SNPs showed nominally significant associations with neovascular AMD (P < 0.05), of which two (rs3173798 and rs3211883) withstood Bonferroni correction for multiple testing (Bonferroni-corrected P= 0.0189 and 0.00397, respectively; Table 2).

For multiple testing Bonferroni-corrected p-values were used.

Fifteen CpG sites were significantly associated after correction for multiple testing (Bonferroni-corrected p value <1.4 × 10−5).

This association remained significant after correction for multiple testing (Bonferroni corrected p = 0.020 (0.0034×6 SNPs for which we tried to replicate the association)) and when calculating the empirical p value for linear regression using 105 permutations of the genotypes (p = 0.004) (Table S1).

To correct for multiple testing, Bonferroni correction was applied.

After correcting for multiple testing (Bonferroni correction), there were still significant associations for these three SNPs.

To correct for multiple testing, Bonferroni correction for the number of studied SNPs (n = 10) was used in the single marker analysis and permutation (10 000 permutations) was used in the sliding window analyses.

To correct for multiple testing, Bonferroni correction was used, therefore α was set to 0.007.

However, after correcting for multiple testing (Bonferroni correction with 36 comparisons), these results became nonsignificant.

Significant probability values obtained were corrected for multiple testing (Bonferroni correction).

*Only for year of biopsy was there a statistically significant difference according to CD serology subtype when we corrected for multiple testing (Bonferroni correction [ 20].