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Exact(48)
Both models showed significant correlation between experimental and predicted data for all quality attributes.
Smoking models showed significant interaction effects between race and education for non-Latino Whites only.
Hierarchical linear models showed significant group differences at T2 in knowledge, and these levels were maintained at T3.
The results of a series of random effects models showed significant associations between help-seeking from informal sources and each of externalizing behavior (OR 0.44, 95% CI 0.34, 0.56, p < .0001), educational outcomes (OR 2.24, 95% CI 1.84, 2.73, p < .0001) and other help-seeking behavior (e.g. help-seeking for peers; OR 2.43, 95% CI 1.97, 3.00, p < .0001).0001
All regression models showed significant increases in δ13C values during the experimental period.
For effects on terrestrial carbon storage, all models showed significant decreases in carbon stock in the two RCP scenarios.
Similar(12)
Nevertheless, the models show significant variations and degrees of complexity.
However, the strengths of the stairwise staggered models show significant difference.
The models show significant conversion improvement with respect to existing steady state processes.
These models show significant improvement of failure probability prediction capability compared to the weakest link integral.
Model form uncertainty, inherently existing in selecting the best approximation from a model set cannot be ignored, especially when the predictions by competing models show significant differences.
More suggestions(15)
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CEO of Professional Science Editing for Scientists @ prosciediting.com