This document covers two key concepts in epidemiological regression modeling confounding and effect modification (interaction) using the 2020 BRFSS dataset (n = 5,000). Part 1 walks through stratified analysis, interaction terms, and the 10% change-in-estimate rule for confounding. Part 2 applies these methods through a structured lab activity with full interpretation. Built in R using tidyverse, broom, ggeffects, and gtsummary for EPI 553 Principles of Statistical Inference II, University at Albany–SUNY, Spring 2026.

Math204 with Python

This analysis examines May 2024 BLS OEWS salary data across nine data practitioner roles — from Management Analysts to Database Architects — to uncover how role, geography, and seniority drive earning potential. Using national percentile distributions, state-level choropleth maps, and a tile grid visualization, the analysis reveals that Database Architects consistently command the highest salaries across nearly every state, while a $45K gap separates the highest and lowest paying roles nationally. Whether you are navigating a career pivot or benchmarking your current compensation, one finding is clear: your title and your zip code together determine your paycheck.