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The PER is a paced running test, conducted on a 400-m outdoor track according to the protocol developed by Conconi et al. [24] and evaluated using the final running velocity.
In order to adequately reflect the parameter distributions, many replicates (e.g., ≥1,000) are generated and evaluated using the final model, and replicate parameter estimates are tabulated.
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The input-output data of the plant are provided on the benchmark site and the final controllers are evaluated using the closed-loop data.
The level of agreement between the initial diagnosis and the final consensus was evaluated using the κ-statistic (Agresti, 1990).
The level of agreement between the initial diagnosis and the final consensus was evaluated using the κ-statistic for qualitative data, which is a test commonly used to evaluate the concordance between qualitative data.
The final models were evaluated using the Omnibus Test to see whether they accounted for significantly more variance in the dependent variables than models with only intercepts, and the B coefficient of each significant predictor reported.
Predictive performance of the final model was then evaluated using the cross-validation process internal to the model building procedure.
The relationships between the clinical and radiological characteristics and the final pathologic diagnosis were evaluated using the independent-sample t-test for continuous variables and the χ2 test or Fisher's exact test for categorical variables.
Final models were evaluated using the area under the curve (AUC), which is a value widely used to measure model performance [ 60, 65, 66].
Two storage configurations were evaluated using the same PCM to have preliminary results before the final storage tank design.
Final maps distances were evaluated using the diploid equal retention model with an EM tolerance set to 10-5 (using cgtolerance).
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