MedCalc

 MedCalc is a statistical software designed specifically for biomedical research. It provides a range of tools for data analysis, including ROC curve analysis, survival analysis, Bland-Altman plots, regression analysis, and more. It is widely used by researchers, clinicians, and statisticians in the medical field.

User-friendly statistical software

 

  1. MedCalc is a statistical software package for biomedical research.
  2. Statistics include more than 220 statistical tests, procedures and graphs.
  3. ROC curve analysis, method comparison and quality control tools.

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MedCalc 
  • Description
  • Features
  • Benefits
  • USED CASES OF MedCalc

Easy to learn, fast and reliable

Data management

  • Integrated spreadsheet with 1048576 rows and 16384 columns.
  • Correct handling of missing data.
  • Outliers can easily be excluded.
  • Built-in WYSIWYG text editor.
  • Imports Excel, Excel 2007, SPSS, DBase and Lotus files, and files in SYLK, DIF or plain text format.
  • Easy selection of subgroups for statistical analysis.


MedCalc Documentation

  • Comprehensive context-sensitive help.
  • Complete HTML manual on MedCalc web site.
  • Context help in dialog boxes.
  • Paperback manual.


Statistical features

See list of statistical procedures.


ROC curve analysis

MedCalc is the reference software for ROC curve analysis. Our ROC curve analysis module includes:

Go to the ROC curve analysis section of the MedCalc manual for more information on ROC curve analysis in MedCalc.


Graphs


Accessibility


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.
  • To run MedCalc on a Mac, a Windows emulator is necessary such as Parallels or use Bootcamp.
  1. User-Friendly Interface – Designed for medical researchers, it simplifies complex statistical calculations.
  2. Comprehensive Statistical Tools – Offers a variety of statistical tests and methods tailored for medical research.
  3. Graphical Representation – Provides high-quality graphs and plots for data visualization.
  4. Handles Large Datasets – Efficiently processes large amounts of data commonly found in biomedical research.
  5. Specialized Medical Research Features – Includes ROC curve analysis, survival analysis, and epidemiological statistics.
  6. Automated Reporting – Generates detailed reports, making it easier for researchers to interpret and present their findings.
  7. Data Import & Export – Supports various file formats, including Excel, CSV, and SPSS.

1. ROC Curve Analysis – Used in diagnostic testing to evaluate the performance of medical tests.

2. Survival Analysis – Helps in understanding patient survival rates and treatment efficacy.

3. Bland-Altman Analysis – Compares two measurement methods to assess agreement.

4. Regression Analysis – Determines relationships between variables in medical research.

5. Meta-Analysis – Combines results from multiple studies to derive overall conclusions.

6. Epidemiological Studies – Used for risk factor analysis, prevalence studies, and disease association.

7. Clinical Trials – Assists in analyzing treatment effects and patient responses.

MedCalc is particularly beneficial for medical professionals and researchers who need a robust yet easy-to-use tool for statistical analysis in health sciences.

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