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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.
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