02-12-2025, 07:54 PM
Administrator
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MedCalc 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 is capable of handling missing data, creating subgroups, calculating percentile ranks, and power transformation. 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.
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.