To compare the 2 lactation models, we evaluated the goodness of fit using 6 evaluation criteria.
Using simple empirical degradation models, we evaluated the effect of the crystallinity and the hydrophilicity.
Given the lack of modulation of metastatic nodule formation by VEGFR1 in our models, we evaluated the kinetics of BMDC infiltration in lungs prior to and after macroscopic metastatic nodule formation.
Prior to generating niche models, we evaluated the environmental coverages with a jackknife process, an analysis designed to maximize predictive accuracy while culling coverages prone to spurious overfitting [14], [75], [76].
For TSFR and R-V models, we evaluated the significance of separate additive (intercept) and multiplicative (slope) selection effects.
Because PS appears as the most important PF in both models, we evaluated the accuracy of PS as a PF for early death (see Figure 2).
In linear regression models, we evaluated the effect of CB-153 and p, p′-DDE as exposure variables on the outcome variables %DFI and HDS (Table 1).
For all the estimated models, we evaluated the significance of the random effects using one-sided p-values rather than simple Wald tests since the null value is on the border of the parameter space [ 33, 34].
In addition to subcutaneous tumour models, we evaluated the efficacy and the ability of YE-PC8 to confer proliferation-dependent transgene expression in nude mice-bearing intracranial human glioma xenografts.
Using real failure traces and a workload model, we evaluate the proposed resource provisioning policies to demonstrate their performance, cost as well as performance cost efficiency.
