MedCalc

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Description

Product Details

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

 

MedCalc Features

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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