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 Description, 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. MedCalc 20.218 Multilingual Portable | 42.5 Mb

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