This comprehensive report explores the integration of 2018 National Health Interview Survey (NHIS) Person and Household Data to analyze health outcomes and how they correlate with household environments in the U.S. It aims to identify the primary environmental factors influencing health conditions, aiding in the refinement of public health policies. The analysis utilizes a range of statistical and machine learning techniques including regression analysis, cluster analysis, and predictive analytics, across R and SAS environments. This approach not only discerns patterns and predicts health outcomes based on socio-economic and environmental variables but also validates these findings statistically to ensure reliability and inform effective health interventions tailored to diverse population needs.
Oct 01, 2024 - Nov 30, 2024