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We evaluated the discrimination of the model using receiver operating characteristic (ROC) curves and the value under its area (CI 95%) and the calibration using the Hosmer-Lemeshow (HL) goodness-of-fit test, both in patients with low and high predicted mortality.
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Receiver operating characteristic (ROC) curve is presented, with its area under the curve (AUC) and 95% confidence interval.
For each test, we evaluated its diagnostic accuracy using its area under the ROC curve (AUC) and its 95%% confidence interval (95 % CI).
This is shown considering an unconfined aquifer recharged all over its area under arid conditions, in which a period of greater recharge happened some millennia ago.
The diagnostic accuracy of each parameter and symptom combination was assessed by calculating its area under receiver operating characteristic curves (AUROC).
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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