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Also the correlation between the 1-pool and 2-pool models was statistically significant (P < 0.01), but the coefficient of determination intermediary R2 = 0.60.
In addition, by comparing the MAEs given by the consensus versus individual models using the Wilcoxon test, we found that the improvement of the consensus models compared with all individual models was statistically significant (p < 0.01).
The linearity of the calibration curves for each analyte at the optimal levels suggested by the mathematical models was statistically confirmed by means of the ratio lack-of-fit to pure error.
None of the β2s and β3s in the Cox models was statistically significantly different from zero.
The difference in the relative effect of indomethacin between the 2 models was statistically significant (p = 0.006).
The difference in AUC between the R-IPSS, IPSS and Dusseldorf Score models was statistically significant (P=0.003), whereas there was no significant difference between any other models tested, suggesting that the majority of models were comparable.
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All these models are statistically significant at p = 0.01.
These results indicated that the regression models were statistically significant.
All models were statistically evaluated using strict criteria.
The models were statistically significant; thus the information contributes to the design of new larvicidal agents.
Both models are statistically significant (p < 0.01) based on F-test.
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