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SPR 2023 preconference workshop
Washington, DC | 30 May–2 June 2023

Title: Introduction to Causal Inference
Presenter: Meghan Cain, Senior Statistician, Communications, StataCorp
Date: Tuesday, 30 May 2023
Description: We will discuss
  • how observational data differ from experimental data
  • the conceptual and theoretical underpinnings of treatment effects using the potential-outcomes framework
  • how to obtain the average treatment effect and the average treatment effect on the treated using a variety of estimators, including
    • Regression-adjustment estimator
    • Inverse-probability-weighting (IPW) estimator
    • Augmented IPW estimator
    • IPW regression-adjustment estimator
    • Difference-in-differences estimation
  • many examples using Stata, offering hands-on experience for the participants
We will also have exercises that participants can work through independently and ask questions.

Meghan Cain

Meghan Cain portrait

Meghan Cain is a Senior Statistician at StataCorp. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she develops and presents training on these and other topics. She also conducts webinars, works with developers to produce Stata documentation, and contributes to Stata blogs.

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