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With respect to fitness, we find that in both models the difference between maximum bite and median bite is large, and median bite length increases hardly.
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In general, the effect of DIF contamination is larger than the effect of impact on power for both models: the average difference of power is 0.46 between the DIF contaminations conditions, whereas the average difference of power is 0.07 between the impact conditions.
We find that both models, despite the difference in the data integration and model structure, provide epidemic profiles with spatio-temporal patterns in very good agreement.
For low values of the spectral efficiency, the social welfare ratio is quite similar for both models while the difference becomes noticeable when the spectral efficiency takes higher values.
Updating improved calibration of both models, as the difference between observed and predicted mortality became smaller.
This conclusion is supported by final comparison of both corrected models - the difference in steady state concentration of S7P between both Zhu models is 121-fold as shown in Figure 5 - green and blue.
However, most of them lose statistical significance with the exception of the fixed exchange rate dummy in both the NBREG and OLS models and the difference in unemployment in the OLS specification.
For both models differences in the predicted post-operative ejection fractions in the lower range of pre-operative ejection measurements are considerably different and prediction errors due to copula model are smaller.
CD4 count changes were modelled both as the difference from baseline (ΔCD4 count) and the difference between consecutive values (CD4 count slope) using all 3-monthly CD4 count measurements during follow-up.
Both sensitivity and specificity were lower for the gene model, and the differences between both models were similar to the differences between equivalent models for LQTS.
However, both models showed significant differences between the two subgroups with regard to existence of nucleoli (p = 0.006, rphi = −0.181; LRA: p = 0.008, R = 0.04).
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