The results showed that the estimates of C miss depended on the reliability of the phenotypic traits considered, i.e. the dEBV used as response values.
These results are in accordance with previous results showing synergistic interactions between resistance genes with resistance levels up to 431×, estimated using LC50 response values [ 11].
It might be considered that dropouts might affect our results and interpretation of the relationship between serum bilirubin and albumin concentrations, particularly if a dropout could not be predicted using earlier response values or variables.
Response values were optimized using response surface methodology to maximize the immune response and relieve oxidative stress.
Values predicted using response surface modeling or nonlinear ensemble models exhibited a high correlation with experimental values.
An optimal set of those process variables values were calculated using response surface methodology, and results showed that optimal values were: temperature equal to 37 °C, pH controlled at 7.0 and agitation speed maintained at 1300 rpm, which correspond to a oxygen global mass transfer coefficient (kLa) of 36 h−1.
Optimal parametric values computed using response surface methodology (RS M corresponding to maximum (i.e. 96.97%) FAME yield were CaO loading of 30 wt.%, 1.0 wt.% catalyst concentration and 6.9 1 methanol/oil molar ratio.
Independent variables (frequency, duty cycle, and voltage) of the PEC cell fabricated from TiO2 subjected 20 kGy γ radiation were optimized to maximize the K value by using response surface methodology with quadratic rotation orthogonal composite experimental design.
All values were selected using response surface methodology in order to determine their effects on the concentration of triglycerides from the extracted oil.
All values were selected using response surface methodology (RS M in order to determine their effects on the concentration of triglycerides from the SC-CO2 extracted oil.
