Sentence examples for most predictive measures from inspiring English sources

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While looking at the employees' lunchtime interactions, they discovered one of the most predictive measures of good performance was the number of people an employee ate with — the more, the merrier.

The logic regression procedure identified the most predictive measures for management of vaginal infections from the candidate clinical and laboratory measures.

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Even when using a tool that meets the criteria outlined above, personality constructs are not the most predictive measure available.

An examination of the predictive power of the four features used as inputs to the A-EDT classifier reveals that, as suggested by Figure 4, the community dispersion feature was the most predictive measure.

Waist-to-height ratio (AROC 0.678) was the most predictive measure, followed by BMI (AROC 0.674).

At the same time, we observed that the BPE% derived from SUB 1 was the most predictive measure among all BPE measures evaluated.

In this longitudinal analysis of various forms of dental amalgam exposure and U-Hg excretion in children, the current number of amalgam surfaces was the most predictive amalgam measure for current U-Hg excretion, whereas the time-sensitive measure of posterior occlusal surface-years of amalgam was most predictive for cumulative U-Hg during follow-up.

The fact that the more dynamic aspects of our study - both the trajectories of the MRSA-positive patients and the fact that flow is the most predictive centrality measure for the outbreak sizes - showed clearer deviations from the expected results, suggests that dynamic representations of the patient flow at a unit level could be a fruitful direction for future studies.

Most articles discuss predictive measures of academic success in medical school, including both cognitive and non-cognitive variables that can assist admission committees to choose those students most likely to achieve well in medical school, while at the same time, steering committees away from admitting students likely to fail.

After evaluating a wide range of buffer sizes, these investigators found cumulative traffic within a 100-m radius buffer was the most predictive of both measured PM2.5 absorbance and NO2.

CSS was the most predictive singe adiposity measure and further analysis including both CSS and BMI in the model revealed CSS remained significant (HR=1.266; 95% CI 1.041 to 1.538) but not BMI (HR=1.037; 95% CI 0.970 to 1.109).

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