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The test protocol is time consuming and, if conducted completely, the mere number of parameters, which have to be corrected for multiple testing, requires sample sizes that cannot feasibly be recruited at a single headache clinic.
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Also, the effect on gene expression may have been too small to detect, especially given the adjustments for multiple testing required in a genome-wide survey.
We defined two populations for analysis: protocols where missing information was imputed and protocols that reported all core components and any additional information such as adjustments for multiple testing required to accurately recalculate the sample size (complete reporting).
Because we were analyzing multiple core SNPs in each genic region, we used the approach of Ref. (2) to correct for multiple hypothesis testing, requiring more than 10% of the SNPs within a 100 kb region to have ln REHH) at least 3.92 standard deviations higher than the genome-wide distribution for SNPs of the same derived frequency.
Novelty seeking, another risk attitude measure from the psychology literature, is associated with several COMT (catechol-O-methyl transferase) SNPs while economic risk attitude measures are associated with several VMAT2 (vesicular monoamine transporter) SNPs, but the significance of these associations did not withstand statistical adjustment for multiple testing and requires larger cohorts.
After considering Bonferroni adjustment for multiple testing (which requires p < 0.00294 for significance), only two correlations remain significant, namely methylation at L1X6a with the number of removed lymph nodes in female colon cancers and L1X6b methylation with age in female pancreatic cancer.
Repeated use of a SNP in multiple statistical tests requires a correction of the significance level α.
Although we analysed only one minisatellite locus, in contrast to others using up to eight loci (reviewed by Bouffler et al, 2006), it is worth noting that significance in multiple locus tests requires correction for the number of loci tested, whereas our result does not.
Since we compared genotypic and allelic distributions of six polymorphic markers between controls and three related subgroups (MTLE, MTLE-HS+ and MTLE-FS+) in the first MTLE study (series MT-1 and HI-1), a correction for multiple testing was required.
Since the GOBP consists of several thousand terms, an adjustment for multiple testing is required.
Although these results are significant, they fail to pass correction for multiple testing and require replication in larger studies.
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