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Model bias was examined by plotting actual values against predictions and predicted values against residual values and dependant variables included in each model.
Unbiased models are expected to have a slope coefficient of 1, whereas values greater than 1 indicate a biased underestimation in the DGV prediction and values smaller than 1 indicate a biased overestimation of the DGV.
The simulation results show that agreement between the EASM predictions and experimental values is satisfactory.
Key thermal environmental data predictions and monitored values are compared, and if significant differences are identified, thermal environment predictions are modified.
Finite element (FE) models of the test samples using layered shell elements are further used to correlate results with analytical predictions and experimental values.
Satisfactory agreement between theoretical predictions and experimental values of the edge vial effect indicate that results calculated from the theory are of useful accuracy.
The squared correlation between out-of-sample predictions and observed values was 0.14.
Scatter plots of predictions and observed values are provided in Figure 3 for AQS and fixed sites and in Supplemental Material, Figure S2, for home sites.
The mean relative errors are 0.57% and 0.35% for the retentate and permeate, respectively, indicating an excellent agreement between theoretical predictions and experimental values.
In the two-treatment category model (top, right), the predictions (and observed values) are 47.4% for maraviroc (q.d. + b.i.d). vs. 15% for placebo.
Coefficients of determination for model predictions and experimental values were in the range of 0.75 to 0.96 for Avicel hydrolysis by CBH I action.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com