Sentence examples for subjects model from inspiring English sources

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Relatedly, the hard-to-staff subjects model reflects the need to incentivize teachers to specialize in areas facing shortages of talent.

Researchers must take advantage of these to test specific, well-controlled hypotheses in human subjects, model systems (mouse, zebrafish and others [ 97]), and in vitro (for example, cell culture and functional screens).

A sensitivity analysis that excluded seafood consumers (n = 43, 22% of all subjects) (model 3) showed consistent directions and significance of associations between exposure and metabolism indicators and birth outcomes, as observed with model 1 (see Supplemental Material, Table S2).

The time-weighted model that used microenvironment concentrations measured directly in the homes and workplaces of the subjects (model 4) explained an average variability of 50% ranging from 12%to80%0%.

In summary, by simulation studies we showed that under MAR assumption, excluding index test non-evaluable subjects (Model 1) will not lead to biased estimates of sensitivity, specificity, LR+, LR − and AUC.

The authors concluded that excluding the index test non-evaluable subjects (Model 1) leads to overestimation of sensitivity and specificity and recommended the conservative intent-to-diagnose approach by treating non-evaluable diseased subjects as false negatives and non-evaluable non-diseased subjects as false positives.

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Similar(52)

He opened a small cardboard box from Michigan State University containing an array of small mothlike subjects, models for an illustration of common apple pests.

His religious paintings are like theatrical set pieces in confined spaces with subjects modelled on people he had picked up on the streets of Rome.

Figure 2(a) depicts an example with six users and seven subjects modeled as vertices.

Test-retest reliability of individual subjects' modeled EMG-force relationships were examined within and between days across sampling areas.

To determine whether multiple peaks could accurately classify different groups of subjects, models based on peptide peaks showing different peak area were developed using GA, SNN and QC.

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