This project demonstrates a complete medical statistical analysis workflow for a real clinical dataset investigating risk factors associated with Ischemic Heart Disease.
The project was conducted following an academic research workflow similar to those used in medical publications, starting from raw data preparation and ending with publication-ready statistical interpretation.
Project Scope
• Data cleaning and preprocessing • Variable preparation and coding • Descriptive statistics • Mann–Whitney U Test • Crosstab Analysis • Binary Logistic Regression • Clinical interpretation of statistical findings • Publication-ready statistical report
Software Used
• IBM SPSS Statistics • Microsoft Excel • Microsoft Word
Deliverables
✔ Clean statistical workflow ✔ Professionally formatted report ✔ Publication-ready interpretation ✔ Clear presentation of statistical findings ✔ Clinically meaningful conclusions
This project reflects my approach to medical data analysis: accuracy, reproducibility, and clear interpretation that helps researchers transform statistical outputs into scientifically meaningful results.
Project Note: This project was developed as a portfolio case study using a publicly available real-world medical dataset. The analysis was performed to simulate a typical academic
research workflow, including data preparation, statistical testing, regression modeling, and interpretation. All statistical analyses, reported results, and interpretations were independently conducted and verified to ensure
methodological accuracy. This project is
intended solely for educational and portfolio
purposes and does not represent an official
clinical study.The project was designed to simulate the scope, workflow, and deliverables commonly requested in real-world medical research and statistical
consulting projects.
If you need assistance with medical statistics, SPSS analysis, hypothesis testing, regression models, or publication-ready reporting, I would be happy to help.