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MedCalc 12.7.5.0 (x86/x64) | 15/18 MB

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 16384 columns and up to 100000 rows.
## 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.

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.
## Description 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.
## 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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