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The local-clock permutation test [ 26] is a phylogenetic tree-based randomisation test that corrects for within-clade rate variation.
Therefore, we estimated the relative risk (RR) for the gain of implausible vs. plausible NAGNAG acceptors using the Cochran-Mantel-Haenszel (CMH) test that corrects for the influence of the target mutation.
For many cases of hidden structure in genetic data, the use of principal component-based covariates is sufficient for correction (Price et al., 2006), and thus these covariates could immediately be added to existing models such as SKAT (Wu et al., 2011) to achieve a set test that corrects for confounding.
We test the hypothesis of a substitution rate shift downwards in Xanthorrhoea by using the well-known Relative Rates test that assumes no phylogeny [ 25], followed by a phylogenetic test that corrects for the confounding effect of within-clade rate variation (Local Clock Permutation Test [ 26]).
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Subclassification is confirmed by "modified movement and alignment tests" that correct the impaired spine movement, redistribute motion, or change alignment to reduce or eliminate symptoms.
Overrepresentation of GO terms was tested using a hypergeometric test that was corrected for multiple testing, using a Benjamini and Hochberg correction [ 25].
In the absence of population structure, there is no loss in power compared to a test that does not correct for axes of genetic variation.
The data for taxonomic and functional abundances were tested for significant differences using a Wilcoxon rank-sum test that was subsequently corrected for Multiple Testing using the Benjamini-Hochberg false discovery rate (q-value).
There was an increase of 250% in the number of responses to the knowledge test that were both correct and whereby parents were completely sure, with significant increases occurring between the baseline and post-pamphlet phases and also between the post-pamphlet and post-video phases.
Significant main or interaction effects were further pursued by appropriate post-hoc tests that were corrected for multiple comparisons, if required.
The test accuracy, the proportion of all tests that gave correct result, was defined as (TP + TN) / numbers of all tests.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com