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Based on it having the lowest AIC value overall (range for OS models: from 792.3 to 826.0; range for PFS models: from 841.2 to 851.3), the baseline FKSI-15 score was the best QoL instrument for predicting PFS and OS. Figure 2 and Table 2 show predicted median PFS and median OS as a function of baseline FKSI-15 scores in patients on sunitinib.
Covariate analysis suggested that dose frequency (qw vs. q3w) and percentage of patients who received prior chemotherapy were not significant covariates in the OS or PFS models.
In the PFS models, CTC values were dichotomised into (0, 1) variables using the accepted cutoff of ⩾3 CTC/7.5 ml (Cohen et al, 2008).
Additional PFS models evaluated change from baseline for CTC and CEC as a dichotomous variable defined as increase or no increase at each time point.
In the PFS models, CTC values at baseline, week 2, and weeks 6 8 were dichotomized into (0, 1) variables using the accepted cutoff values for CellSearch (cells/7.5 mL = 5); IE/FC and endothelial cells were modeled using cell counts as continuous variables (log scale).
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The existence of these distributions is shown to invalidate the plug flow (PF) model assumption in almost all cases.
For SiO x N y -Sinc-based devines biased in the reverse mode, the Poole-Frenkel (PF) model is the most convenient.
This result is in agreement with the Poole-Frenkel (PF) model, which has been widely studied in the Schottky-gate AlGaN/GaN HFETs [11, 12].
The Phase Field (PF) model for brittle fracture has been coupled with the Cohesive Zone Model (CZM) within the framework of the large deformation analysis.
The calculated separation factor and flux as a function of permeability and flow rate were compared with the result from the conventional plug flow (PF) model calculation.
Polymeric flow (PF) model is relatively simple and assume that particle morphology develops as the catalyst active sites move outwards along with the polymer formed thus leading to PF morphology.
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