Sentence examples for multiple tests using from inspiring English sources

It should however be noted that the likelihood of statistical errors vastly increases when doing multiple tests using the same dataset.

P-values were adjusted for multiple tests using a sequential Bonferonni correction [72].

We control for multiple tests using q-values, which are estimates of one minus positive predictive value (see Methods).

The resulting P-values for all genes were corrected for multiple tests using a FDR (false discovery rate) adjustment [68].

Overall we observe a non-significant negative correlation between ψ and θs (table 2), but within mammals and fish the correlation is strong and highly significant, even if we correct for multiple tests using a Bonferroni correction.

Significance was adjusted for multiple tests using Bonferroni corrections.

ANOVA p values were adjusted for multiple testing using the Benjamini and Hochberg FDR correction.

We controlled for multiple testing using the false discovery rate test [FDR, 41], [42].

P-values were corrected for multiple testing using Benjamini and Hochberg False Discovery Rates.

Assays were then corrected for multiple testing using the Bonferroni correction.

All P values were corrected for multiple testing using the "Benjamini-Hochberg" correction method.