Sentence examples for statistical relevance between from inspiring English sources

Unpaired two-tailed Student's t-test was used to determine the statistical relevance between groups.

We found very low levels of IFN-gamma with no statistical relevance between either of the investigated groups, matching an older study showing that the levels of IFN-gamma were less elevated in patients while detectable IFN-gamma patients had higher risk for recurrence [ 24].

The Fisher exact test and the chi-squared test were used to analyse the statistical relevance of correlation between two proportions.

In general, sequence comparison algorithms evaluate the statistical relevance of the overlap between a target and a given query.

This unavoidable trade-off between statistical relevance and resolution complicates detecting spectral peaks reliably: spectra can include spurious features.

With one exception, the statistical relevance of the differences between the groups (i.e., significant differences or no significant differences) remained the same regardless of the number of trials included.

A validation process should include (1) assessment of biological and statistical relevance to confirm a correlation between biomarker and clinical parameters like rejection and infection, (2) validation for different time points and different immunosuppressive drug therapies after transplantation, and (3) validation for cohorts of different compositions.

We found that the statistical relevance of specific tied structures differs between social "friendship" and "disliking" networks, suggesting relation-type-specific topology of social networks.

But if we employ variables like $C$ that are insufficiently fine grained, the connection between causation and statistical relevance assumed in both the Causal Markov condition and the SR model will fail.

For each platform, we vary the distance between source and sink nodes, and in order to ensure the statistical relevance, we perform 33 rounds for every different platform.

This undermines the statistical relevance of their recommendations.