MedCalc 23.2.1

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. MedCalc was designed to meet the needs and requirements of the study nature and aims to analyze the statistical calculations of the project. 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 - statistical data, medical

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. Data browser MedCalc data management, notes, text and graphs good. The main feature of this software is the ability to analysis of the ROC curve. MedCalc can create charts for the ROC curve with 95 percent accuracy, and determine the size of the surface below the graph. MedCalc can check lost data, create a group and ranked by percentage. You can also design reports from the statistical calculations of his own and put the data next to each other.

Features of MedCalc

• Spreadsheet integration with more than 100,000 rows
• Read and display data imported from Excel, SPSS and calculation software and other statistical
• Analyze data and perform math calculations and statistics
• Design and analysis of graph the ROC curve
• Documentation online and offline
• The different functions to analyze in detail the graph
• Browser integrated data to manage data
• Create subgroups for the chart

Content update MedCalc 19.1.1:

When analyzing the ROC curve using bootstrapping (for example to calculate the CI of the index Youden), CI's bootstrap AUC are also reported.

Process improvement calculate average difference Hodges - Lehmann, which allows larger sample size.

Improve the time taken to check the accuracy of Fisher.