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Its simplicity in design also makes its adaptation to include additional variables extremely feasible.
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Results regarding control variables are extremely robust across models.
Furthermore, many environmental variables are extremely difficult to replicate in the lab.
The purity of reagents, catalysts and maintenance of operation variables are extremely important for bioengineering systems.
Due to multiple variables, an extremely trained operator with a modern WEDM is rarely to achieve the optimal performance.
In contrast, other variables were extremely robust.
We only excluded those variables with extremely skewed distributions.
Variable coefficients for industrial NPRI proximity variables were extremely sensitive to monitor selection.
Ratings of these variables were extremely reliable with 100percentt agreement between two raters.
This last variable is extremely important and is often overlooked in the literature.
This variable was extremely predictive of recurrence beyond 12 months: HR=8.2 (1.8–37.8) log-rank P=0.001.
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