Overview
This project conducts a comprehensive statistical analysis of factors influencing blood pressure using data from the US National Health and Nutrition Examination Survey (NHANES).
Objectives
- Identify key factors that significantly affect blood pressure
- Build predictive models for blood pressure estimation
- Provide insights for healthcare professionals and researchers
Data Source
The analysis uses NHANES data, which provides extensive information on:
- Demographics
- Health conditions
- Lifestyle factors
- Nutrition patterns
- Physical measurements
Statistical Techniques
- Linear Regression: Modeling relationships between variables and blood pressure
- LASSO Regularization: Feature selection to identify most important factors
- Cross-Validation: Ensuring model robustness and preventing overfitting
- Statistical Modeling: Building interpretable and accurate predictive models
Impact
This work contributes to better understanding of blood pressure determinants, supporting evidence-based approaches to cardiovascular health management.