I provide end-to-end statistical analysis for healthcare, biotech, and life sciences projects requiring rigorous methodology and defensible results. This service is ideal for clients with complex data structures or regulatory constraints.

This service includes:
Data Preparation

• Review and cleaning of clinical or health research datasets
• Structuring data for cohort, case-control, or time-to-event analyses
• Handling missing data using appropriate statistical approaches

Statistical Analysis

• Descriptive statistics and exploratory analysis
• Hypothesis testing and confidence interval estimation
• Survival analysis (Kaplan–Meier, Cox regression, Cure Rate models, competing risks)
• Regression modeling (linear, logistic, multivariable, mixed-effects)
• Analysis of cohort, case-control, and nested case-control studies

Reporting & Deliverables

• Clear summary of methods and results
• Publication-ready tables and figures (as needed)
• Interpretation of findings and key limitations
• Reproducible analysis code (R or SAS)

Client Should Provide

• Dataset and data dictionary
• Description of study design and research questions

Best Suited For

• Clinical and observational research
• Epidemiology and population health studies
• Healthcare outcomes and risk modeling