![]() 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.' ROC curves are compared based on calculating the difference between the areas under the curves using standard error, 95% confidence interval and P-value.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. You can choose threshold values in the dot diagram and the corresponding specificity and sensitivity is automatically calculated. ![]() The area under the curve is calculated with a 95% confidence interval and standard error. MedCalc provides a complete on line help documentation accessible on the official website but also an extensive PDF manual along with the application, for offline use. ![]() Missing data is handled appropriately and import is supported for various file formats like Excel, Dbase, Lotus, SPSS, DIF, SYLK and text. This highly useful piece of software comes with a built-in spreadsheet that can include as many as 10,000 rows. If you work in the biomedical field and often need to generate statistics from tons of data you’ll probably enjoy working with MedCalc. MedCalc: Powerful statistical application for biomedical sciences ![]()
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