2 papers
stat.ME2026
Residual-on-Residual Regression as a Tool for Effect Estimation in Observational Data
Ashley I. Naimi, Qianhui Jin, Ya-Hui Yu +2
Epidemiologists increasingly use machine learning to adjust for high-dimensional confounding. Augmented inverse probability weighting (AIPW) and targeted maximum likelihood estimat…
stat.OT2026
A Law of Iterated Expectation Primer for Causal Inference
Ashley I. Naimi, Razieh Nabi, Lindsay J. Collin +2
The g-formula is a foundational tool for identifying causal effects in observational data. This tool is based on the law of iterated expectation, a key mathematical identity in sta…