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Values were considered statistically significant when at p < 0.05 [ 31].
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Now, in order to complete the proof, it is to be shown that p k ∗ ≤ p ̄ k , for all ℓ=1,…,L, which is equivalent to showing that the first-order derivative of g k is negative when evaluated at p ̄ k.
Variables were taken forward for multivariable analysis when significant at p < 0.2 [ 13].
Due to the small SM1 area for the hind leg among sheep [ 33], no additional extent correction was performed when thresholded at P < 0.05.
Subsequently, all independent variables that showed significant associations were considered for inclusion into the multivariate logistic regression model and retained when significant at p < 0.05.
Here, we found that no significant activity changes survived the standard significance threshold, even when voxels at p < 0.001 and k ≥ 5 belonging to uncorrected clusters were taken into account.
As expected, the negative binomial analysis, when considered at p-value cutoffs of 10-4 or 10-3, called many fewer methylated windows than the RPKM or CPPD methods.
Alternatively, this could simply reflect the role of chance; even with true genetic associations, when looking at P-values for over 500,000 markers, the 'top hits' of a genome-wide study can be highly unstable.
When the support at P is released, the centre of mass of the wheel initially drops slightly below the horizontal plane.
Statistical analyses involved a one-way analysis of variance (ANOVA) with Duncan post hoc tests or Student's t-tests, when appropriate (significance at P < 0.05).
When φs2⪡1, ignition occurs at P values of order Bφs2 and the monolith behaves like a homogeneous reactor with simultaneous ignition/extinction of the surface and the fluid phase.
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CEO of Professional Science Editing for Scientists @ prosciediting.com