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Importantly, decreases in error magnitude across conditions (p < 0.05) confirmed that improvements in performance continued over the entire course of the experiment.
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Under the assumption that the methylation standards were correct, mean squared error (MSE) statistical analysis for comparison of BSAS and Sanger/ESME demonstrated a 16-fold average increase in methylation quantitation accuracy, or decrease in error, across the mouse methylation controls.
But the efforts yielded few improvements in treatment or decreases in hospital errors.
In Figure 5, as expected, the performance decreases in case of error-induced ranges.
Both test and control groups show decrease in this error, indicating learning of and adaptation to the force field.
The results show a decrease in error and potentially life threatening events by up to one third.
Our bias variance analysis shows that the decrease in error by our variant is due to a decrease in variance.
These results represent a 59% decrease in error compared to the best previously published results for this dataset.
A positive safety climate is associated with a measurable decrease in error rates2.
The results presented here suggest that the SL technique could result in an increase in sensitivity and a decrease in error rate of identification during DNA sequencing.
A positive value indicates an increase in error, while a negative value indicates a decrease in error.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com