MedCalc is a statistical software package for biomedical research. Statistics include more than 220 statistical tests, procedures and graphs. ROC curve analysis, method comparison and quality control tools.
Easy to learn, fast and reliable
MedCalc includes more than 220 statistical tests, procedures and graphs
reference software for ROC curve analysis…
method comparison and method evaluation including Bland-Altman plot, Passing-Bablok regression, and Deming regression, …
reference intervals, including age-related reference interval
Kaplan-Meier survival analysis and Cox proportional-hazards regression
see complete list
save graphs in SVG, PNG, JPG, high resolution TIF, or other file formats, or as PowerPoint slides (*.pptx).
available with an English, Chinese (simplified and traditional), French, German, Italian, Japanese, Korean, Polish, Portuguese (Brazilian), Russian and Spanish user-interface (help file and documentation in English)
one edition includes all features
compatible with all contemporary Windows desktop editions
Integrated spreadsheet with 1 048 576 rows and 16 384 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.
Comprehensive context-sensitive help.
Complete HTML manual on MedCalc web site.
Context help in dialog boxes.
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.
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).
PC with Windows Vista, Windows 7, 8, 8.1, 10 or 11; or Windows Server 2008, 2012 and 2016 (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.
(Cracked Silent Install Repack) x86
(Cracked Silent Install Repack) x64