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220791 Mon, 8/9/2021, 12:00 PM - 1:15 PM
StataCorp Demo: Causal inference using Stata - Estimating treatment effects with observational data — Other Cmte/Business
Organizer(s): Joerg Luedicke, StataCorp; Kristin MacDonald, StataCorp
Estimating treatment effects when the data are observational rather than experimental presents a challenge in many research areas. This demonstration provides a hands-on overview of causal inference methods and demonstrates how to implement these methods in Stata. Techniques for estimating treatment effects such as regression adjustment, inverse-probability weighting, and propensity-score matching will be discussed. We will also introduce methods for estimating treatment effects when observational data complications, such as sample selection (data missing not at random) and unobserved confounding, arise. Examples demonstrating how to perform causal inference and treatment effect estimation within Stata will be provided. No prior knowledge of Stata is required, but basic familiarity with regression modeling will prove useful.