Overview of MedCalc Benefits
MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.
MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.
The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.
Overview of MedCalc Features
- Integrated spreadsheet with 1048576 rows and 16384 columns.
- Correct handling of missing data.
- Outliers can easily be excluded.
- Built-in WYSIWYG text editor.
- Complete HTML manual on MedCalc web site.
- Context help in dialog boxes.
- ROC curve graph with 95% Confidence Bounds.
- Plot of sensitivity and specificity, or cost, versus criterion values.
- Plot of predictive values versus prevalence.
- Interval likelihood ratios.
- 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.
Technical Details and System Requirements
To run the MedCalc program you need a PC with Windows XP, Windows Vista, Windows 7, 8, 8.1 or 10; or Windows Server 2003, 2008 and 2012 (all 32-bit and 64-bit versions supported), with at least 1024 MB RAM and about 60 Megabyte free space on the hard disk.
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