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This will be performed by showing examples of the most often encountered steps in pharmacokinetic (PK) model development, i.e., a covariate modeling procedure and model evaluation using residual- and simulation-based diagnostics.
It can also provide functions such as an internist model evaluation using perplexity, N-best rescoring and model-based text generation.
Testing is based on the model evaluation using the support vectors to classify a test data set.
Model evaluation using 10-fold cross validation suggested very good predictive performance (AUC = 0.88), with a predictive deviance of 33% (Table 2).
Model evaluation using historical data was not possible, but the model was found to have high correlation (r = 0.96) with aggregated 1994-1997 data from 16 monitors.
To address this limitation of the study, we plan to perform additional model evaluation using other exposure panel studies such as the Detroit Exposure and Aerosol Research Study in Detroit, Michigan (22).
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For example, to estimate Sobol's sensitivity indices on a tree growth model, Wu et al. (2012) needed thousands of model evaluations using Monte Carlo sampling.
Evaluation of the two historical calibration approaches are shown in Table 3 which summarizes the R2 and RMSE of model evaluations using the 10% sample of monitoring data withheld each year.
In the model evaluation, use was made of 80 monitoring stations from the UK and London monitoring networks (http://www.londonair.org.uk/LondonAir/Default.aspx), including 22 urban background, 13 suburban, 38 roadside and 7 kerbside sites.
Design Health impact modelling and evaluation, using a stochastic simulation model.
Figure 1 presents the results of the model stability evaluation using bootstrap.
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