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Its robustness was evaluated using a robustness plot, its performance was judged using a single input single output nonlinear mixing tank process with variable time delay.
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A robustness plot shows how the LEO.NB.OCA score (y-axis) depends on sets of automatically selected SNP markers (x-axis).
Linearity was assessed using a residual plot.
This was illustrated using a Venn plot.
The experiment was organized using a split-plot design using tillage as the main plots and fertilizer rates as the sub-plot.
We also used a log−log plot.
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These results prompted us to investigate the mechanistic basis of this robustness using a biochemical model.
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We therefore did a robustness analysis using a time varying definition for drug exposure.
We set out to externally validate and assess its robustness using a multi-institutional BOT database.
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