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Recall measures the accuracy of the model in detecting all subjects who were diagnosed as depressed in the entire dataset.

Thus, further research is needed to evaluate the adequacy and accuracy of the proposed SEM model in detecting interaction effects.

Using this technique, Huang et al. (2012a, b) employed a dynamic grey model in detecting the dynamic trend of accident fatalities in the construction industry.

This paper compares the effectiveness of alternative time series techniques based on Fourier and discrete wavelet transforms, autocorrelation and cross correlation functions and autoregressive model in detecting rogue seasonality.

The accuracy of the κ ω SST turbulence model in detecting air flow around a rectangular block is validated by comparing it with the data from the wind tunnel experiment.

This model is more powerful than the sample-based model in detecting departures between observed and null partitions because of intra-specific aggregation of individuals.

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One of the most useful parametric models in detecting trends is the 'simple linear regression' model.

Facilitated transmission of UK-1 and UK-2 in transgenic mice highlighted the differential sensitivity of these models in detecting possible mixtures of strains.

Our study demonstrates the usefulness of codon-based likelihood models in detecting selection and it illustrates the value of sequencing organisms at different phylogenetic distances for comparative studies.

Model 2 was superior to model 1 in detecting undiagnosed diabetes, as reflected by several significant improvements, including weighted C statistics of 0.826 versus 0.842 (bootstrap P = 0.001) and integrated discrimination improvement of 0.012 955% CI: 0.004, 0.030).

In reality, the major advantage lying implementing the DCC-MGARCH models consist in detecting of plausible changes noticeable in the relationships governing the variables remains prevalent in the underlying studied data.

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