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The log-normal model gives the highest CC value (0.738) and low RMSE (0.013) and MAE (0.009) values for storm E. The Gumbel model performance according to the statistical measures is poor for both storms.
In terms of edge placement (Table 3), the recall is poor for both algorithms, which is frequently the case in computational methods for reverse-engineering regulatory networks; on the other hand, the precision of IDEM quite reasonable.
Similar(58)
Alcohol use outcomes were poor for both groups.
TNF-α clearance was poor for both RRT modalities.
However, CIM was superior to Δ SUVmax concerning specificity, whereas PPV was poor for both approaches.
N-D-ornithyl amphotericin B methyl ester gave a slightly higher concentration in serum than amphotericin B did, but both drugs had similar elimination curves, and penetration into the cerebrospinal fluid was poor for both.
Clinical management and treatment completion was poor for both conditions.
However, Kappa-agreement was poor for both cut-off points.
Tumour necrosis factor-α clearance was poor for both CVVH and CVVHD.
According to the RMSEA, however, the fit was poor for both models.
Calibration of the model was poor for both fasting-time durations (p value <0.01 for both time durations).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com