Sentence examples for multiple testing all from inspiring English sources

To correct for multiple testing all p-values were corrected using the false-discovery rate approach.

Taken together, and correcting for multiple testing, all transition mutations in the treated group were substantially increased over controls (p = 0.03).

None of the nine investigated variants were significantly associated with type 2 diabetes after correction for multiple testing (all P>0.0056).

Due to multiple testing, all P values were two-sided, and values below 0.01 were considered statistically significant.

Before correction for multiple testing, all but 8 of the cancers considered show significant overall excess clustering of cases.

After Bonferroni correction (p<0.0125) was applied to adjust for multiple testing, all associations remained significant at p<0.05.

But after correction of multiple test, all above association were changed into no significance (P > 0.05).

Differences between ROC curves were calculated using the DeLong method (DeLong et al. 1988) implemented in package pROC for R. In order to correct for multiple tests, all P values were adjusted using Benjamini Hochberg method with false discovery rate (FDR) ≤ 10%.

In series GSE13213 and in the combined cohort, but not in series GSE14814, the association between MME and survival was significant even after Bonferroni correction for multiple testing for all genes/probe sets in all the studies.

To avoid type II errors, the sequential goodness-of-fit method (Carvajal-Rodriguez et al. 2009) was applied to all P values as a correction for multiple testing of all HWE, linkage disequilibrium and differentiation tables.

To take into account the likelihood of Type I errors increasing due to multiple testing, in all cases statistical significance was set as P < 0.001, and all analyses were carried out in R (version 2.15.0 © 2012 The R Foundation for Statistical Computing).