![]() ROC curves are compared based on calculating the difference between the areas under the curves using standard error, 95% confidence interval and P-value. 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. In order to assess the effectiveness of DFV 1 in predicting POPF after surgery. ![]() The most recent MedCalc version number is 22.007 (you can download it here). Missing data is handled appropriately and import is supported for various file formats like Excel, Dbase, Lotus, SPSS, DIF, SYLK and text. The clinical factors were analyzed using SPSS 17.0 and Medcalc software. This information panel shows how you can cite MedCalc in a scientific paper. 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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