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Bars show the variance distribution across 40 inter-SLE periods.
The boxplots show the variance calculated from the ten runs for each training size.
Additional file 1: Figure S2; Table 1 show the variance and AIC value for each model.
The bottom frames show the variance coefficient reduction (R τ ) of the between-event standard deviation τ.
Error bars show the variance across the five methods.
Cox and Shell R were used to show the variance explained by self-efficacy on increased interest and intent in rural practice respectively.
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More recent research has shown the variance is largely determined by genetics, with some input from age and gender.
Table 2 shows the variance values.
Figure 3 also shows the variance reduction for each component.
Table 7 below shows the Variance Inflation Factor and tolerance test statistics from the study data.
Table 2 shows the variance value for all rate-distortion points.
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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