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In the presence of competing risks, the Cox-PH model is appropriate for investigating the biologic effect of treatment, whereas the CR models yields the actual effect of treatment in the study.
Provided that reasonable values for kinetic parameters and initial concentrations of cellular components can be obtained, simulation of the dynamical models yields the concentrations of each component at subsequent times, thereby facilitating comparison of simulated and experimental time courses [ 5].
Analyzing such models yields the dynamics of the system and may give a precise prediction on the evolution of populations in the system.
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Mechanistic models yield the highest explanatory power for the effects of climate changes, and thus have optimal assessment effectiveness.
It was demonstrated that the QuBiLS-MIDAS models yield the best predictions, and that these are significantly superior in 11 of the 12 methodologies compared.
However, since in none of the analyses did any significant covariate term remain, these models yielded the same results as the repeated measures ANOVAs (not shown).
The three models yielded the following results.
In all these analyses, BayesB and SPLS models yielded the highest accuracies, followed by BL, whereas RR-BLUP and PLS models yielded the lowest accuracies.
These quadratic models yield the best possible fit to the data and lowest possible RMS value.
The forward selection models yielded the highest model R2 for both the RARBIS with medications (R2 = 0.31) and the RARBIS without medications (R2 = 0.26).
The amplitude and the position of these models yield the signals and position of the photoactivated spindle as well as the signal intensity background spindle.
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CEO of Professional Science Editing for Scientists @ prosciediting.com