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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.
Data management
MedCalc Documentation
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
Easy to learn, fast and reliable