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Exact(7)
Therefore, we must consider multilevel models with area effects.
Models 1 to 7 are two-level regression models, namely models with area effects.
Models with area under the ROC curve of greater than 0.7 are preferred.
The prognostic performance of MTS and ProADM was assessed in multivariate regression models with area under the receiver operating curve (AUC) as an overall measure of discrimination.
We used logistic regression models with area under the curve (AUC) to establish associations between clinical prediction rules and blood culture positivity.
Logistic regression models with area under the receiver operating curve (AUC) were used to assess association of baseline parameters and outcomes.
Similar(53)
For 4 ecologically comparable bird species of the North Central American highland forests, we devised metapopulation models with area-weighted self-colonization terms; this reflected repopulation of a patch from a remnant of individuals that survived an adverse event.
We split our new dataset into a train and test samples which contain respectively 75%and25%5% of the ties and use 10 fold cross-validation to train the model with Area Under the Curve (AUC) as the performance metric.
For seed number the model with area and population was also the best (AIC 699.66; BIC 719.61).
This model fits better than the model with AREA only, as evidenced by the large drop in deviance statistics when comparing the two models (p < 0.0001).
We assessed discrimination of the model with area under the receiver operating curve (AUC ± SE = 0.79 ± 0.03 with 95% C.I. 0.74 to 0.84; Chi Square statistics: P <0.001).
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