Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows XP | Windows 2000 | Windows 2003 | Windows 2008 | Windows Vista | Windows 2012 File Format: msi
Rating: 2.695652173
out of 5
based on 23 user ratings
Publisher Website: External Link Downloads: 1905 License: Demo / Trial Version
MedCalc is a demo software by MedCalc Software and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows XP, Windows 2000, Windows 2003, Windows 2008, Windows Vista, Windows 2012.
You can download MedCalc which is 21.38 MB in size and belongs to the software category Science CAD. MedCalc was released on 2015-11-28 and last updated on our database on 2017-04-12 and is currently at version 15.11.
We also have MedCalc 64bit version which is 22.39 MB in size and will work on x64 computers.
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MedCalc Description
Data management:
Integrated spreadsheet with up to 676 columns and 100000 rows.
Correct handling of missing data.
Outliers can easily be excluded.
Built-in WYSIWYG text editor.
Imports Excel, 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.
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.
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
Name, save and recall graphs and statistics
Statistical info in graph windows
Where to buy?
Last updated price and discount information 7 years agoupdate now
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