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Exact(10)
Given the independence of our data sets, we chose to address the problem of combining multiple testing results by using Fisher's combination test.
To account for multiple testing, results with p < 0.005 were considered to be significant.
Due to multiple testing, results with p < 0.0005 were considered to be significant.
This Bonferroni correction for multiple testing results in a per-family error rate (PFER) of one [ 40].
Due to the issues of multiple testing, results will be interpreted according to magnitude of the group difference rather than relying solely on significance levels.
The statistical difference found in D-dimer and FVIII-levels may have been multiple testing results and one can argue whether these changes are biologically relevant.
Similar(50)
In the case of the Novel Environment Test, for which we had several dependent variables, we applied a Bonferroni correction for multiple testing resulting in a reduction in the value of alpha for these tests from 0.05 to 0.008.
Note, setting a false-discovery rate to correct for multiple testing resulted in no significant enrichment.
It should be noted that applying correction for multiple testing resulted in no gene being differentially expressed.
Additional analysis using the FDR approach to account for multiple testing resulted in p-values of 0.15 for both of our top SNPs in BCHE.
Through Bonferroni correction we accounted for multiple testing, resulting in the identification of 50,821 and 168,292 significantly correlated transcript-pairs respectively (Spearman's correlation test P-Value < 0.05 after multiple testing correction).
Related(20)
myriad testing results
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multiple testing procedures
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multiple screening results
multiple laboratory results
multiple imputation results
multiple core results
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multiple test results
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