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In addition, a main effect of 'task load' was computed using a linear contrast to identify brain regions that showed magnetic resonance signal intensity variation correlated with task difficulty (van den Heuvel et al., 2005).
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To this end, we performed an analysis using a linear model contrasting the control vs. USA and control vs. European/China samples.
In contrast to using a linear kernel (i.e. PCA), this comes at the price of losing interpretability although in the linear case loadings can be easily visualized in a bi-plot, in the non-linear case this is more difficult because loadings change across the 2D plot.
Trend for disease severity was tested by use of a linear contrast.
We tested the dose-response effect using a modified linear contrast [ 25] in a mixed effects linear regression model that included random subject effects.
A linear contrast was used to test for reaction time trend across the reinforcement contingencies [ 26, 27].
In contrast, we used a linear polyacrylamide coated capillary to eliminate electroosmotic flow and 0.1% formic acid as the separation buffer.
Similar results have been achieved by using the linear contrast stretching.
The RR for each cluster was estimated using linear contrast, and rate ratios plus 95% CIs were used to estimate the differences in annual mean moderate/severe exacerbation rates for each cluster.
* P value is calculated using linear contrast statistics.
Differential gene expression was analyzed using ANOVA and linear contrast between experimental groups.
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