Sentence examples for declared significance from inspiring English sources

In other words, by setting the threshold p-value as such, we are prepared to tolerate on average less than 1 falsely declared significance.

Bonferroni correction was used to adjust significance levels for multiple comparisons (declared significance = 1− (1−denoted significance) ∧ (1/number of comparisons)), yielding critical P values of 0.0047 for acquisition memory and 0.0043 for retention memory [ 36, 37].

For the ATT, we look at how variables become significant as we increase the P-value threshold for declaring significance.

Our results show that all steps must be accounted for when declaring significance in stepwise analytical procedures when a screening step precedes a testing step.

Using multiple penetrance models is a form of multiple testing, so we must increase the LOD score threshold used to declare significance.

With so many null hypotheses being tested simultaneously, the conventional single hypothesis testing criterion (p-value <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0018874.e001.PNG" class= inline-graphic"/> 0.05) to reject a null hypothesis and declare significance in the result is no longer adequate, because too many false positives become inevitable.

A FDR threshold of 0.05 was established to declare significance.

A Bonferroni correction with P < 0.005 was used to declare significance.

However, the significance level for declaring significance of a single test needs to be adjusted for multiple comparisons.

Use of the 0.004 as the threshold to declare significance leads to a rough false discovery rate of 0.025.

This threshold has served the scientific community well, representing a standard to be attained before declaring significance.