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Offers choice between methodology of DeLong et al. Our ROC curve analysis module includes:Īrea Under the Curve (AUC) with standard error, 95% confidence interval, P-value. MedCalc is the reference software for ROC curve analysis. Imports Excel, Excel 2007, SPSS, DBase and Lotus files, and files in SYLK, DIF or plain text format.Įasy selection of subgroups for statistical analysis.Ĭomplete HTML manual on MedCalc web site. Integrated spreadsheet with 1?048?576 rows and 16?384 columns. The software also includes Bland & Altman plot, Passing and Bablok and Deming regression for method comparison studies. The MedCalc ROC module includes comparison of up to 6 ROC curves. MedCalc is the most user-friendly software for Receiver Operating Characteristic curve (ROC curves) analysis. Improve the time taken to check the accuracy of Fisher.MedCalc is a complete statistical program for Windows designed to closely match the requirements of biomedical researchers.

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.

The different functions to analyze in detail the graph.

Design and analysis of graph the ROC curve.

Analyze data and perform math calculations and statistics.

Read and display data imported from Excel, SPSS and calculation software and other statistical.

Spreadsheet integration with more than 100,000 rows.

You can also design reports from the statistical calculations of his own and put the data next to each other. MedCalc can check lost data, create a group and ranked by percentage. MedCalc can create charts for the ROC curve with 95 percent accuracy, and determine the size of the surface below the graph.

The main feature of this software is the ability to analysis of the ROC curve.

Data browser MedCalc data management, notes, text and graphs good. With spreadsheet integration, including more than 100,000,000 rows, MedCalc have the ability to read and display the correct data is imported from Excel, SPSS, DBase, Lotus, or escape from the file SYLK, DIF, and text. This software provides the tools and means essential to analyze the characteristic curve of the system (ROC), drawing data and perform the statistical calculations. MedCalc was designed to meet the needs and requirements of the study nature and aims to analyze the statistical calculations of the project. MedCalc is a statistical software for biomedical research can analyze many performance curve system with a set of rich functionality, chart types and advanced module. Download MedCalc 22 - Statistical software for biomedical research can analyze many performance curve system with a functionally rich MedCalc: