![]() ![]() 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 with respect to the statistical analysis of large datasets. Improve the time taken to check the accuracy of Fisher.Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. Process improvement calculate average difference Hodges - Lehmann, which allows larger sample size. When analyzing the ROC curve using bootstrapping (for example to calculate the CI of the index Youden), CI's bootstrap AUC are also reported.
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