The program has data representation and research illustration methods, data set comparison features, plus information analysis, comparison, and testing instruments for variable segregation. MedCalc is a specialized tool for professionals who work in the biomedical field.

With MedCalc, you can create data comparison graphs, single and clustered, variable and comparison multi-graph structures, as well as multiple line graphical implementations, plus Control, Youden, Polar, Forest, and function plots.įurthermore, the application offers a full-fledged environment for performing sample size calculations, all with mechanisms such as proportion comparisons, correlation coefficients, Bland-Altman plots, McNemar test implementations, and many others.įor a full list of this program's statistical and testing features, check this list. Sample size calculations and graph implementation

Last but not least, the application enables access to ANOVA testing structures for determining the influence of dependent factors over independent variables from a given set of data. Some available features this software solution provides for statistics calculationsįirst, this application lets you perform ROC curve analysis (plot vs criterion values, predictive values, interactive dot diagrams, general and individual ROC curve comparisons, and so much more).Īlso, the tool enables the usage of various data evaluation and comparison instruments (for conducting Bland-Altman plots, and Passing-Bablok and Deming regressions), plus advanced statistics implementation methods and features for further stress testing your data's validity and correlating data points with 'Method comparison and evaluation,' 'Agreement & Reponsivenss,' 'Crosstabs,' 'Survival/Meta-Analysis,' 'Serial measurements,' 'T-tests' or 'Rank sum/Variance radio tests.' MedCalc is a complex software solution for data analysts and users in need of researching and representing biomedical research structures, all with a crazy amount of useful features that enable the usage of statistical test patterns, procedure representations, and graph design illustrations.

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