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By contrast, there is only, to date of writing, two publications with reported pediatric PBPK model predictions evaluated for 6 drugs after oral drug application (4, 19), with only one of them evaluated with neonatal experimental data for the modeled drug (19).
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A common objective is the minimization of the difference between measurement data and model prediction, evaluated by least squares or maximum likelihood functions (see e.g. [ 9]).
Model predictions were evaluated by comparison to measurements of temperature, water saturation, displacement, and air permeability.
Model predictions are evaluated using large experimental results of 44 mixtures.
The validity of the theoretical model predictions was evaluated by comparison with experimental results obtained with a cochlear implant.
The accuracies of the model predictions are evaluated by a comparison to results from computational fluid dynamics (CFD) simulations.
Model predictions were evaluated against the present data as well as shock tube data (1100 1700 K, 7 456 bar) and flame speeds (1 10 bar) from literature.
Fine-scale model predictions were evaluated with radio-tracking locations from bats from a distant colony, and compared with results of traditional radio-tracking data analysis methods (compositional analysis of habitat selection).
Adjusted-R, model RMSE, and RMSE of model predictions were evaluated for each iteration.
The models are estimated using the training data set, and the model predictions are evaluated using the validation data set.
The accuracy of BPNN-based model predictions were evaluated by providing the trained network topology with a test dataset and also by calculating the regression coefficient (R) values.
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