MedCalc for Windows description

Data management

• Integrated spreadsheet (pop-up) with 16384 columns and up to 100000 rows.
• Correct handling of missing data.
• Outliers can easily be excluded - Example (pop-up).
• 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.

Documentation

• Comprehensive help file.
• Manual in PDF format (go to download area).
• Complete HTML manual on MedCalc web site.
• Context help in dialog boxes.

ROC curve analysis

• 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 versus criterion values.
• 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 - Example (pop-up).
• Name, save and recall graphs and statistics - Example (pop-up).
• Statistical info in graph windows - Example (pop-up).

System requirements

• PC with Windows 2000, Windows XP, Windows Server 2003, Windows Vista or Windows 7 (32-bit and 64-bit versions).
• 128 Mb of memory.
• 8 Mb free space on the hard disk.