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In addition to validating the model with experimental results, it was also validated through comparison of its predictions with those of an established model.
In addition to validating the model in terms of the final delivery ratio, it is also of interest to validate the distance and time distributions predicted by Equations (7) and (8) against data from the LAROD ns-2 simulations.
The strength of our research lies in our approach to validating the model using independent data and extensive multivariate simulation from correlated EQ-5D-3L and QLQ-C30 data.
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We refer to 'internal validation' when the same data are used to validate the model as to develop it, and 'external validation' when the data are used to validate the model are different than the data used for development.
To validate the model, we applied the derived risk score to patients in the validation cohort.
Experiments are conducted to validate the model.
A numerical example is given to validate the model.
You need to validate the model, stress test and make sure that everything is sound.
An experiment has been done to validate the model.
Some simulations were run to validate the model.
The second experimental system was employed to validate the model.
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