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These accurate time-resolved data allowed for the first time the quantitative determination of phosphorylation and dephosphorylation rate constants in the mathematical model, indicating very rapid turnover of both ITAM and ZAP-70 phosphorylations.
However, only 2% of the variance in impulse control scores was accounted for by the multivariate model, indicating very poor predictive validity, and learning problems (including ADHD) were more strongly related to impulse control scores than concussion history.
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However, this model indicated very strong site effects, and a post-hoc analysis model including key covariates showed a treatment effect in the opposite, expected direction of decreased atrophy [ 45, 46].
Phosphate levels were not significant in both analyses and models, indicating very low sensitivity and specificity (see Table 3).
3: Support for these models indicates very rapid divergence of traits; however, they do not provide insights into why such rapid divergence occurs (e.g., genetic drift, natural selection).
The model-generated data are plotted alongside the experimental data in Figure 2. R for this model was 0.98499, indicating very close fit between the model and the experimental data.
Table 3 and Figure 2 show the results of Bayesian model selection for each group, indicating very significant differences in model evidences (50), with opposite directions of effect in the two groups.
Similarly, Schmid et al. (2006) found that efficiencies of the same model in different study areas can range from 0.583 (indicating very good model performance) to −0.911 (indicating bias).
Evidence against the null model (i.e. the one with lower marginal likelihood) is assessed in the following way [39]: 2>2· loge(BF >6 indicates positive evidence against the null model; 6>2·loge(BF)>10 indicates strong evidence against the null model; 2·loge(BF)>10 indicates very strong evidence against the null model.
As shown in Table 2, the linear and square root models for the two summary scales yielded non-significant χ2 values and CFIs well above the acceptable level of.900, indicating very good model fit.
All items of both DESC-I and DESC-II adhered to the infit and outfit criteria of < 1.3 indicating very good Rasch model fit.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com