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. ROC curves are compared based on calculating the difference between the areas under the curves using standard error, 95% confidence interval and P-value.Free Download MedCalc 22.007 Multilingual Free Download | 55.8 Mb You can choose threshold values in the dot diagram and the corresponding specificity and sensitivity is automatically calculated. The area under the curve is calculated with a 95% confidence interval and standard error. MedCalc provides a complete on line help documentation accessible on the official website but also an extensive PDF manual along with the application, for offline use. Missing data is handled appropriately and import is supported for various file formats like Excel, Dbase, Lotus, SPSS, DIF, SYLK and text.
This highly useful piece of software comes with a built-in spreadsheet that can include as many as 10,000 rows. If you work in the biomedical field and often need to generate statistics from tons of data you’ll probably enjoy working with MedCalc. MedCalc: Powerful statistical application for biomedical sciences
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