MedCalc BENEFITS

1. User-Friendly Interface – Designed for medical researchers, it simplifies complex statistical calculations.
2. Comprehensive Statistical Tools – Offers a variety of statistical tests and methods tailored for medical research.
3. Graphical Representation – Provides high-quality graphs and plots for data visualization.
4. Handles Large Datasets – Efficiently processes large amounts of data commonly found in biomedical research.
5. Specialized Medical Research Features – Includes ROC curve analysis, survival analysis, and epidemiological statistics.
6. Automated Reporting – Generates detailed reports, making it easier for researchers to interpret and present their findings.
7. Data Import & Export – Supports various file formats, including Excel, CSV, and SPSS.

MedCalc Features

Data management

• Integrated spreadsheet with 1048576 rows and 16384 columns.
• Correct handling of missing data.
• Outliers can easily be excluded.
• Built-in WYSIWYG text editor.
• Imports Excel, Excel 2007, SPSS, DBase and Lotus files, and files in SYLK, DIF or plain text format.
• Easy selection of subgroups for statistical analysis.

MedCalc Documentation

• Comprehensive context-sensitive help.
• Complete HTML manual on MedCalc web site.
• Context help in dialog boxes.
• Paperback manual.

Statistical features

See list of statistical procedures.

ROC curve analysis

MedCalc is the reference software for ROC curve analysis. Our ROC curve analysis module includes:

• Area Under the Curve (AUC) with standard error, 95% confidence interval, P-value. Offers choice between methodology of DeLong et al. (1988) and Hanley & McNeil (1982, 1983).
• List of sensitivity, specificity, likelihood ratios, and positive and negative predictive values for all possible threshold values.
• ROC curve graph with 95% Confidence Bounds.
• Threshold values can be selected in an interactive dot diagram with automatic calculation of corresponding sensitivity and specificity.
• Plot of sensitivity and specificity, or cost, versus criterion values.
• Plot of predictive values versus prevalence.
• Interval likelihood ratios.
• Comparison of up to 6 ROC curves: difference between the areas under the ROC curves, with standard error, 95% confidence interval and P-value.
• Sample size calculation for area under ROC curve and comparison of ROC curves.

Go to the ROC curve analysis section of the MedCalc manual for more information on ROC curve analysis in MedCalc.

Graphs

• Lots of graphs, see Graph gallery.
• Data point identification in graphs.
• Draw text boxes, lines, arrows and connectors.
• Name, save and recall graphs and statistics.
• Statistical info in graph windows.
• Save graphs as SVG, PNG, JPG, GIF, BMP, PCX, or high resolution TIF files, or as PowerPoint slides (*.pptx).

Accessibility

• See Software accessibility

System requirements

• PC with Windows Vista, Windows 7, 8, 8.1, 10 or 11; or Windows Server 2008 or more recent (all 32-bit and 64-bit versions supported).
• On Windows versions prior to Windows 8, support for Excel *.xlsx files additionally requires Microsoft .NET Framework 4.0 (a free download from Microsoft).
• 2048 Mb of memory.
• 60 Mb free space on the hard disk.
• To run MedCalc on a Mac, a Windows emulator is necessary such as Parallels or use Bootcamp.