Lab 04 - Whole Game

Getting Started

• Go to our class’s GitHub organization sta-779-s25
• Find the GitHub repository (which we’ll refer to as “repo” going forward) for this lab, lab-04-whole-game-YOUR-GITHUB-HANDLE. This repo contains a template you can build on to complete your assignment.

Prompt

Using the nhefs dataset from the causaldata package, complete a full analysis estimating the causal effect of quitting smoking on a participants weight in 1982. Your analysis should include the following components:

• A clearly defined causal question, including an explanation of the estimand of interest (you may chose your own based on how you define your causal question)
• A proposed DAG
• Appropriate handling of any missing data
• A propensity score model
• Appropriate Tables, Figures, etc to explain the population you are drawing inference on
• Appropriate checks for the propensity score model
• Appropriate incorporation of the propensity score in the outcome model, including uncertainty estimates
• An explanation of the effect
• A sensitivity analysis to unmeasured confounding

This should be written up as a report where you describe each step in words and what you found.