MedCalc v19.6.3 Multilingual

MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers. It is fast, user-friendly and reliable. MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. The MedCalc ROC module includes comparison of up to 6 ROC curves. The software also includes Bland & Altman Description, Passing and Bablok and Deming regression for method comparison studies.

MedCalc for Windows description
Data management
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.
MedCalc Documentation
Comprehensive help file.
Manual in PDF format (go to download area).
Complete HTML manual on MedCalc web site.
Context help in dialog boxes.
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.

Description of sensitivity and specificity, or cost, versus criterion values.
Description 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 BMP, PNG, GIF, PCX, JPG or TIF files, or as PowerPoint slides (*.pptx).

System requirements:
PC with Windows XP (with Service Pack 3), Windows Vista, Windows 7, 8, 8.1 or 10; or Windows Server 2003, 2008, 2012 and 2016.
On Windows versions prior to Windows 8 or Windows Server 2012, support for Excel *.xlsx files additionally requires Microsoft .NET Framework 4.0 (a free download from Microsoft).
1024 Mb of memory.
60 Mb free space on the hard disk.

Home Page – https://www.medcalc.org/