On Windows versions prior to Windows 8, support for Excel *.xlsx files additionally requires Microsoft. PC with Windows Vista, Windows 7, 8, 8.1, 10 or 11 or Windows Server 2008 or more recent (all 32-bit and 64-bit versions supported). Save graphs as SVG, PNG, JPG, GIF, BMP, PCX, or high resolution TIF files, or as PowerPoint slides (*.pptx). Name, save and recall graphs and statistics. Go to the ROC curve analysis section of the MedCalc manual for more information on ROC curve analysis in MedCalc.ĭraw text boxes, lines, arrows and connectors. Sample size calculation for area under ROC curve and comparison of ROC curves. Plot 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. Plot of sensitivity and specificity, or cost, versus criterion values.

Threshold values can be selected in an interactive dot diagram with automatic calculation of corresponding sensitivity and specificity. ROC curve graph with 95% Confidence Bounds. List of sensitivity, specificity, likelihood ratios, and positive and negative predictive values for all possible threshold values. Offers choice between methodology of DeLong et al.

Our ROC curve analysis module includes:Īrea Under the Curve (AUC) with standard error, 95% confidence interval, P-value. MedCalc is the reference software for ROC curve analysis. 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. Integrated spreadsheet with 1?048?576 rows and 16?384 columns. The software also includes Bland & Altman plot, Passing and Bablok and Deming regression for method comparison studies. The MedCalc ROC module includes comparison of up to 6 ROC curves. MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers.

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