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Owing to multiple testing, however, the possibility of chance findings should be considered.
Given the need to perform multiple testing, however, we also later consider a more stringent definition of significance of P<0.01.
Due to the large number of exposure variables we conducted multiple testing however where the p-value is very small chance findings remain unlikely.
We found that five loci remained significant after correction for multiple testing; however, only one locus had a putative novel SNP in the East Asian population.
Given the exploratory nature there was multiple testing, however this was unavoidable given we had no literature on which to base our hypotheses for this outcome.
There may be concerns about multiple testing, however our analyses were specified a priori and analyses that were secondary or exploratory were stated as such.
Similar(44)
As we assess correlations for five different variables, we have to correct for multiple testing here; however, all tests remain statistically significant even after a conservative Bonferroni-correction (corrected p<0.0007 in each case).
After correcting for multiple gene-set testing, however, only the association between the luminal signature and older age at diagnosis retained significance (FWER, P = 0.01).
After correction for multiple testing this variant was, however, not associated with type 2 diabetes in the present meta-analysis including 55,521 individuals (OR = 1.05, 1.01 1.1, P = 0.012).
P-values are presented as unmodified p-values, however multiple testing corrections were performed as stated in the text using the qvalue package [19], using a false discovery rate cut-off of 0.05.
However, multiple testing problems are a limitation of this approach.
More suggestions(15)
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