![]() The app has support for over 100 thousand spreadsheet rows, tools for sorting, filtering, and editing, and a built-in browser for managing all the data captured in the research studies. As of today, this MedCalc represents one of the most popular biomedical research tools for statistical analysis of large datasets, curve analysis, data plotting, Bablok, and Deming regression, and more. Originally released to the public in 1993 as a DOS-only app, MedCalc received constant upgrades, eventually moving to the Windows-only space a few years later. In its core, MedCalc hosts support for basic parametric and non-parametric statistical procedures, tools for meta-analysis and sample size calculations, and a wide array of graph outputs (descriptive statistics, non-linear regression, logistic regressions, ANOVA, Mann–Whitney test, Wilcoxon test, χ2 test, correlation) and more. With built-in spreadsheet support as an input data, it can easily import data from other spreadsheet apps and formats ( Excel, SPSS, Dbase, Lotus, SYLK, DIF, or even extracted from TXT files) and thus be more easily integrated into various research and education initiatives performed all around the world. ROC curves are compared based on calculating the difference between the areas under the curves using standard error, 95% confidence interval and P-value.MedCalc is an advanced statistical software package built from the ground up to serve the needs of biomedical science researchers. 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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