System Requirements and Technical Details Name, save and recall graphs and statistics. Plot of predictive values versus prevalence.ĭraw text boxes, lines, arrows and connectors. Plot of sensitivity and specificity, or cost, versus criterion values. ROC curve graph with 95% Confidence Bounds. Integrated spreadsheet with 1048576 rows and 16384 columns.Ĭomplete HTML manual on MedCalc web site.

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. It features outlier detection, correlation, regression tools, Bland & Altman plotting while also enabling you to run Anova, variance ratio, mean, proportion, Chi-Square, Fisher, and T-tests. MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks, and power transformation. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression, and more. MedCalc is designed to meet the requirements of biomedical researchers concerning the statistical analysis of large datasets.

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