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Finally, omnibus tests for model coefficients and Hosmer-Lemeshow (H-L) goodness of fit tests for model evaluation were also done in Tanzania from 2011 to 2012.
Variables derived from Herd Test Day profiles obtained after a test day model evaluation were used to define herd environment.
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In addition to the sensitivity analyses detailed in this section, a more formal model evaluation was performed to ensure the newly developed modeling system was performing as expected.
Model evaluation was conducted via comparing exposure and dose-modeling predictions against duplicate diet data and biomarker measurements, respectively, for the same individuals.
The model evaluation is carried out through 18 case studies.
Model evaluation is a central point for developers.
Model evaluation was done using the adjusted R-square of the regression.
Model evaluation is an essential milestone of model development to increase confidence in the predictions.
Model evaluation is done using two economic criteria and two statistical tests.
Moreover, model evaluation was carried out by assessing the linear correlation between measured and predicted values.
A multi-criteria model evaluation is developed to select models that balance runoff efficiency with selection of accurate parameter values.
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