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MedCalc 23.7.1 Multilingual - Nyomtatható verzió

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MedCalc 23.7.1 Multilingual - OS9999 - 2026-08-28

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Free Download MedCalc 23.7.1 Multilingual | 119.1 Mb
MedCalc is a statistical software package for Windows developed for biomedical researchers and professionals who need to analyze, visualize, and interpret clinical and research data. It combines data management, statistical analysis, graphing, and specialized methods for biomedical studies in a single application.
The software provides dedicated tools for Receiver Operating Characteristic (ROC) curve analysis, including AUC calculations, confidence intervals, predictive values, threshold analysis, and comparisons of up to six ROC curves. It also supports method comparison techniques such as Bland & Altman, Passing and Bablok, and Deming regression.
MedCalc includes an integrated spreadsheet for managing large datasets, support for multiple data formats, subgroup selection, missing-data handling, and graphing tools. Results and graphs can be saved in several formats for further analysis, reporting, or presentation.

Software Overview
MedCalc is designed around the statistical requirements of biomedical research, providing tools for preparing datasets, performing statistical analyses, and presenting results graphically. Its integrated spreadsheet supports up to 1,048,576 rows and 16,384 columns, while missing values and outliers can be handled during data preparation.
The application can import data from Excel, Excel 2007, SPSS, DBase, Lotus, SYLK, DIF, and plain text files. Users can also select specific subgroups for statistical analysis and use the built-in WYSIWYG editor when preparing related documentation.
ROC analysis is a major component of MedCalc. The ROC module calculates the area under the curve with standard error, 95% confidence intervals, and P-values, with support for the methodologies of DeLong et al. and Hanley & McNeil. It can also calculate sensitivity, specificity, likelihood ratios, and predictive values across possible threshold values.
For method comparison studies, MedCalc includes Bland & Altman analysis as well as Passing and Bablok and Deming regression. Graphing tools provide data-point identification, annotations, text boxes, lines, arrows, and connectors, with options to save graphs for later use.
Key Features
  • Integrated spreadsheet supporting up to 1,048,576 rows and 16,384 columns.
  • Handle missing data during statistical analysis.
  • Exclude outliers from datasets.
  • Use a built-in WYSIWYG text editor.
  • Import Excel, Excel 2007, SPSS, DBase, Lotus, SYLK, DIF, and plain text files.
  • Select subgroups for statistical analysis.
  • Perform Receiver Operating Characteristic (ROC) curve analysis.
  • Calculate AUC with standard error, 95% confidence intervals, and P-values.
  • Use DeLong and Hanley & McNeil methodologies for ROC analysis.
  • Calculate sensitivity, specificity, likelihood ratios, and predictive values.
  • Display ROC curves with 95% confidence bounds.
  • Select ROC thresholds through an interactive dot diagram.
  • Analyze sensitivity, specificity, cost, and criterion values.
  • Analyze predictive values in relation to prevalence.
  • Calculate interval likelihood ratios.
  • Compare up to six ROC curves.
  • Calculate sample sizes for ROC areas and ROC curve comparisons.
  • Perform Bland & Altman analysis for method comparison studies.
  • Use Passing and Bablok regression.
  • Use Deming regression.
  • Identify individual data points within graphs.
  • Add text boxes, lines, arrows, and connectors to graphs.
  • Save and recall graphs and statistical results.
  • Export graphs as SVG, PNG, JPG, GIF, BMP, PCX, or high-resolution TIF files.
  • Save graphs as PowerPoint slides in PPTX format.
  • Access context-sensitive documentation and help resources.
Why Choose MedCalc
MedCalc is suited to biomedical researchers who require specialized statistical methods alongside general data management and visualization tools. Its dedicated ROC analysis functions are particularly useful for diagnostic and clinical studies involving sensitivity, specificity, predictive values, and AUC comparisons.
The combination of statistical analysis, method comparison procedures, spreadsheet-based data management, and flexible graph export makes the software suitable for preparing research results and reports within a single Windows application.
System Requirements
PC with Windows Vista, Windows 7, 8, 8.1, 10 or 11; or Windows Server 2008 or more recent (all 32-bit and 64-bit versions supported).
On Windows versions prior to Windows 8, support for Excel *.xlsx files additionally requires Microsoft .NET Framework 4.0 (a free download from Microsoft).
2048 Mb of memory.
60 Mb free space on the hard disk.
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Product Information
  • Software Name: MedCalc
  • Version:23.7.1
  • Languages:Multilingual
  • License type:Full Version
  • File Size:119.1 Mb


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