data · scientific · Documented
Medical Research Analytics
Statistical analysis and research-ready reporting for academic and medical data.

Overview
A methods-oriented analytics project for academic and medical reporting: interpretation, statistics, and outputs a research reader can follow. Documented as Demo 8 and in the practice portfolio.
Problem
Medical and academic datasets are often analysed in a tool and then narrated from memory. The methods note is the part that survives review.
Solution
A documented workflow across SPSS, Stata, Excel, and Python, aimed at research-ready description rather than a decorative dashboard.
Architecture
- Statistical analysis in SPSS and Stata.
- Python and Pandas where the data needs reproducible preparation.
- A methods note published as Demo 8.
Technology stack
- SPSS
- Stata
- Python
- Pandas
- Excel
Features
- Hypothesis-testing and model reporting discipline.
- Outputs shaped for an academic reader.
Challenges
- Not overstating what a methods demo proves about a real study.
Results
- Public demo PDF.
- No dataset, p-values, or co-authors are published here, so none are stated.
Lessons learned
- The methods note is the product. The chart is only evidence for it.