MedCalc

Rp1

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Description

Product Details

On-premise statistics tool that assist biomedical researchers with ROC curve analysis, method comparison and meta-analysis.

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 dowrnload area).
• Complete HTML manual on MedCalc web site.
• Context help in dialog boxes.

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 BMP, PNG, GIF, PCX, JPG or TIF files, or as PowerPoint slides (*.pptx).

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