Harness the power of data to drive advancements in healthcare.
At Para-Metrics, we specialise in providing top-notch statistical analysis services for healthcare researchers and professionals to turn data into actionable insights for better patient outcomes.
We delivers expertise in statistical analysis of health data and advanced interpretation of results.
At Para-Metrics, our USP is our unparalleled expertise in utilizing a wide array of statistical methods to enhance healthcare research. We transform complex data into actionable insights that drive superior patient outcomes.
Common Study Designs in Healthcare Research:
Intervention based Experimental studies
Cross sectional studies
Case Control Observational studies
Descriptive surveys
Common Statistical Tests in Healthcare Research:
Descriptive analysis- central tendency, dispersion, data distribution, data visualization
Correlational Analysis/ Tests for Association- Pearson correlation test, Spearman Correlation test, Chi square test for association
Comparison of Means- student T test, Paired t test, Analysis of Variance, Analysis of Covariance, Mann Whitney test.
Predictive techniques- Simple and Multiple Regression
Common Statistical Tests in Healthcare Research:
Descriptive analysis- central tendency, dispersion, data distribution, data visualization
Correlational Analysis/ Tests for Association- Pearson correlation test, Spearman Correlation test, Chi square test for association
Comparison of Means- student T test, Paired t test, Analysis of Variance, Analysis of Covariance, Mann Whitney test.
Predictive techniques- Simple and Multiple Regression
We provide services to PhD, Postgraduate and Undergraduate scholars. Documents Required From you.