Hand-eye coordination (maze test), motoric speed (tapping test), mental work capacity (correction of text test), fatigue and well-being (self-evaluation questionnaire), heart rate and physical work capacity (bicycle ergometer test) were assessed.
Accordingly, there is no need for correction of tests of association with different SNPs.
The group analyses now identify significance at a threshold of p < 0.05 or p < 0.01 with Bonferroni correction (# of tests = 28).
Using annotation categories in this fashion is important given concerns posed by recent GWAS [ 8] about the over-correction of test statistics using standard genomic control.
Testing for differential expression between the xenograft models was performed using t-tests with Empirical Bayesian correction of the test statistics [ 32].
*The value is not significant after the Bonferroni correction (number of test = 18).
Modified t-tests were performed on each gene, with Empirical Bayes correction of the test statistics and Benjamini and Hochberg adjusted p-values.
Among the 94 drugs, 51 drugs (54.26%) (yellow nodes in Figure 3) had statistically significant P-values after Bonferroni correction of multiple testing (Fisher's exact test, P-value: 0 ~ 0.0004) (additional file, Table S2).
Furthermore, the strong dependence among the air pollutants and among the biomarkers argues against correction of multiple testing by the number of tests (Bender and Lange 2001).
Despite reducing the size of the estimates of cognitive skills, cognitive skills remain highly significant and the main determinant of individual earnings after this (over) correction of PIAAC test scores.
From our analysis, we conclude that the current use and correction of BED test data could well lead to errors in understanding current patterns and trends in incidence.
