The information can be easily sorted, filtered or edited. With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. ROC curves are compared based on calculating the difference between the areas under the curves using standard error, 95% confidence interval and P-value.Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. 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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