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mtariqi/heart-disease-sas-analysis

Domaine:

healthcare

Type de record:

dataset
Créateur:
mta
Hôte:
South African heart disease analysis with SAS # ❤️ Coronary Heart Disease Risk Factor Analysis (SAS) A SAS-based statistical analysis identifying the risk factors most strongly associated with Coronary Heart Disease (CHD), using the South African Heart Disease dataset — covering variable identification, descriptive statistics, outlier treatment, hypothesis testing, and a logistic regression model with strong predictive performance (AUC = 0.8327). **SAS coding & analysis:** Md Tariqul Islam (Tariq) **Presentation & summary:** Haiyan Zhu --- ## 📋 Table of Contents - Overview - Dataset - Conceptual Framework - Methodology - Key Findings - Recommendations - Repository Structure - Reproducing the Analysis - Tech Stack --- ## Overview Coronary Heart Disease (CHD) is one of the leading causes of death among adults worldwide. This project analyzes a retrospective dataset of males from three heart-disease high-risk communities in the Western Cape, South Africa, to answer two business questions: **what factors increase CHD risk, and how can the disease be avoided?** The analysis proceeds from raw variable identification through descriptive statistics, outlier treatment, hypothesis testing, and finally a logistic regression model that fits the data well (AUC of ROC = 0.8327), concluding with concrete prevention recommendations. 📄 Full write-up of the business problem, framework, and findings: `docs/project_brief.md` ## Dataset **South African Heart Disease Dataset** (OpenML #1498) Originally published in: Rousseauw J, et al. *"Coronary risk factor screening in three rural communities."* South African Medical Journal, 64 (1983), 430–436. - **462 observations**, 10 columns (2 categorical, 8 numeric variables) - **Target variable:** `Class` — CHD response (Yes/No) - **Predictors:** SBP, tobacco use, LDL cholesterol, adiposity, family history, type-A behavior, obesity, alcohol consumption, age at onset ## Conceptual Framework ``` Y (Class: CHD Yes/No) = f(Xs) ``` | Predictor | Description | |---|---| | V1 (SB …