This project, titled “Advanced Regression Modelling in Public Health: A Swedish Perspective,” is a comprehensive study aimed at understanding the various factors impacting public health in Sweden.
The project employs advanced regression models to analyse a robust dataset encompassing various determinants such as occupation, marital status, education level, age, and gender. The objective is to identify, quantify, and interpret the relationships between these determinants and public health outcomes.
The project includes an “Adjusted Model” scatter plot graph, which visually represents the 95% Confidence Interval of various social and demographic factors against their impact on public health. The factors include making ends meet, unemployment status, occupation type, marital status, education level, age groups, and gender. The plot reveals varying degrees of impact corresponding with different factors, providing valuable insights into the health disparities within different demographic groups.
By understanding these patterns, the project aims to inform policy development, healthcare resource allocation, and targeted interventions to address specific health disparities. This project is a significant step towards understanding the dynamics of public health in Sweden and promoting health equity.