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In doing so, a test statistic evaluating each marker-by-gene association was computed to detect the number of eQTL with different LOD score thresholds.
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This test statistic evaluates whether the presence of exogenous variables significantly improves the quality of the model estimation.
In order to break the curse of dimensionality, we propose an efficient statistic, evaluated at the end of the learning stage of the ADS method, to detect the input variables which are the most influential on the failure event.
Tests of significance between the measured reduction in beta cell mass and predicted "excess" beta cell mass was performed using the Behrens-Welch test statistic evaluated against a t distribution with the degrees of freedom calculated using the Satterthwaite's approximation [38].
The first scan statistic evaluated if affected horses were clustered or not.
The ρ statistic evaluates the tendency of sites to undergo correlated changes, irrespective of the compensatory nature of these changes.
The statistic evaluates the incidence of TB infection within a circle relative to expectation (based on the mean TB incidence for patients used in this analysis).
A major difference is that unlike GSEA (or SAFE), the GSCA statistic evaluates pairwise co-expression, as opposed to gene-specific expression, across a gene set.
The c statistic evaluates whether those with higher predicted risk are more likely to die within 60 days among all possible pairs of patients with different outcomes.
A second enrichment approach considers all genes (not just DE genes) and identifies gene sets for which a set-level statistic looks unusual compared with the same statistic evaluated following label permutations.
The sensitivity statistic evaluated whether the SFFQ was as likely as the LFFQ to identify a subject who met the AAP or IOM and Endocrine Society recommendations for vitamin D intake (≥ 400 IU/day and ≥ 600 IU/day, respectively).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com