Appendix

1 📂 Project Sections

1.1 🔹 Core Pages

  • Executive Summary
    Overview of the project examining firearm mortality across U.S. states, key research questions about socioeconomic and policy predictors, data sources, and why a multidimensional approach to understanding gun violence prevention matters.

  • Exploratory Data Analysis
    Detailed examination of patterns in state-level firearm mortality data.

  • Logistic Regression
    Comparison of three different logistic regression models (Standard, Lasso/L1, and Ridge/L2) to predict whether states have above-median firearm mortality rates, evaluation of model performance metrics, and analysis of which policy domains most strongly predict mortality outcomes.

  • Linear Regression
    Comparison of three regression approaches (Principal Component Regression, Backward Stepwise Regression, and Hierarchical Regression) to quantify relationships between socioeconomic factors, gun policies, and firearm mortality rates, with cross-validation to assess generalizability.

  • LLM Log
    Documentation of how large language models were used throughout the project to assist with analysis planning, code development, interpretation of statistical results