![]() MedCalc is the reference software for ROC curve analysis. Our ROC curve analysis module includes:Īrea Under the Curve (AUC) with standard error, 95% confidence interval, P-value. Offers choice between methodology of DeLong et al. List of sensitivity, specificity, likelihood ratios, and positive and negative predictive values for all possible threshold values. ROC curve graph with 95% Confidence Bounds. ![]() ![]() The following, from the 12th OESO World Conference: Cancers of the Esophagus, includes commentaries on the role of the nurse in preparation of esophageal resection (ER) the management of patients who develop high-grade dysplasia after having undergone Nissen fundoplication the trajectory of care for the patient with esophageal cancer the influence of the site of tumor in the choice of treatment the best location for esophagogastrostomy management of chylous leak after esophagectomy the optimal approach to manage thoracic esophageal leak after esophagectomy the choice for operational approach in surgery of cardioesophageal crossing the advantages of robot esophagectomy the place of open esophagectomy the advantages of esophagectomy compared to definitive chemoradiotherapy the pathologist report in the resected specimen the best way to manage patients with unsuspected positive microscopic margin after ER enhanced recovery after surgery for ER: expedited care protocols and long-term quality of life in patients following esophagectomy.Threshold values can be selected in an interactive dot diagram with automatic calculation of corresponding sensitivity and specificity.ĭescription of sensitivity and specificity, or cost, versus criterion values.ĭescription of predictive values versus prevalence.Ĭomparison of up to 6 ROC curves: difference between the areas under the ROC curves, with standard error, 95% confidence interval and P-value.
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