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This analysis was performed for the dominant or recessive genotype models showing significant results, as presented in Table 2.
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Nevertheless, the models show significant variations and degrees of complexity.
Both models showed significant correlation between experimental and predicted data for all quality attributes.
However, the strengths of the stairwise staggered models show significant difference.
Smoking models showed significant interaction effects between race and education for non-Latino Whites only.
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.
Hierarchical linear models showed significant group differences at T2 in knowledge, and these levels were maintained at T3.
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.
These surrogate models show significant advantages for mission design in three-body systems, in terms of both computational cost and capabilities, over traditional Monte Carlo methods.
The results obtained from the two models shows significant increase in the network throughput and drastic decrease in network delay and application response time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com