MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. The MedCalc ROC module includes comparison of up to 6 ROC curves. The software also includes Bland & Altman Description, Passing and Bablok and Deming regression for method comparison studies. Integrated spreadsheet with 1?048?576 rows and 16?384 columns. Imports Excel, Excel 2007, SPSS, DBase and Lotus files, and files in SYLK, DIF or plain text format.Įasy selection of subgroups for statistical analysis.Ĭomplete HTML manual on MedCalc web site. 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. 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.

MedCalc 22.012 for windows download