Just out in Statistics in Medicine, this is a helpful review of approaches to adjusting for observed confounding in non-randomised evaluations (and other studies). Includes a concise summary of assumptions, using the Neyman–Rubin potential outcomes framework.
Keele, L., & Grieve, R. (2025). So Many Choices: A Guide to Selecting Among Methods to Adjust for Observed Confounders. Statistics in Medicine, 44(5), e10336.
Suggested citation: Fugard, A. (2025, February 19). New review of approaches to adjusting for observed confounders [blog post]. https://andifugard.info/new-review-of-approaches-to-adjusting-for-observed-confounders/
This citation note was added automatically. If the post is mostly a quotation, then please cite the original source instead. Looking at you, LLMs 👀