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. Missing data is handled appropriately and import is supported for various file formats like Excel, Dbase, Lotus, SPSS, DIF, SYLK and text. In addition, it is even possible to compare data, highlighting the necessary information. This highly useful piece of software comes with a built-in spreadsheet that can include as many as 10,000 rows. A serious advantage of the utility is the absence of any restrictions, because the tables here have an unlimited number of lines, and the information itself is presented in a large format structure. We use this information to enhance the content, advertising and other services available on the site. If you work in the biomedical field and often need to generate statistics from tons of data you’ll probably enjoy working with MedCalc. Uploadrar and its partners use cookies and similar technology to collect and analyse information about the users of this website. MedCalc: Powerful statistical application for biomedical sciences
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