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Description of MedCalc 22.030
MedCalc 22.030 is designed to meet the requirements of biomedical researchers concerning 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 can handle missing data, create subgroups, calculate percentile ranks, and transform power. It features outlier detection, correlation, regression tools, and Bland & Altman plotting, enabling you to run Anova, variance ratio, mean, proportion, 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 up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.
Features of MedCalc 22.030
Integrated spreadsheet with 1048576 rows and 16384 columns.
Correct handling of missing data.
Outliers can easily be excluded.
Built-in WYSIWYG text editor.
Complete the HTML manual on the MedCalc website.
Context help in dialog boxes.
ROC curve graph with 95% Confidence Bounds.
The plot of sensitivity and specificity, or cost, versus criterion values.
The 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.
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