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The SROC curve illustrates overall test performance, and shows the trade-off between SEN and SPE.
Structural equation modeling was employed to find the best fitting model that illustrates the complex interrelationships among test performance, students' perceptions of the requirement, test value, test anxiety, and learning motivation.
The impact diagnostic test performance can be illustrated by estimation of predictive values, the probability of a tested individual having a given infection status condition on its test result.
The interpretive argument is illustrated through the chain of inferences linking test performance to a decision and their underlying assumptions.
Numerical tests illustrate the performance of the model with respect to several elements subjected to a class of simply supported boundary conditions: plates, circular cylindrical shells, spherical and saddle-shape laminates.
To illustrate the utility of our test for this clinical application, we divided test performance by stage and histology for each clinical cohort (Table 3).
Test results illustrate the performance of this approach.
Numerical results on a set of standard test problems illustrate the performance of the method.
A visual comparison with the models illustrated in Fig. 4 shows that the data do not conform with the idea that sleep during the retention period enhances test performance (Figs. 4A, B vs. Fig. 5A).
Some numerical tests illustrate the good performance of the present procedure, which appears to be competitive with the available implementations of time discontinuous Galerkin methods.
The resulting AUCs and overlapping CIs of the three diagnostic tests illustrate that their performance was largely comparable (table 3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com