Residual-on-residual regression estimates effects encoded in partially linear models by OLS regression of outcome residuals on exposure residuals after confounder adjustment, showing comparable or better performance than AIPW/TMLE in simulations and a pregnancy cohort study.
Estimating predicted probabilities from logistic regression: Different methods correspond to different target populations.Int J Epidemiol
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Residual-on-Residual Regression as a Tool for Effect Estimation in Observational Data
Residual-on-residual regression estimates effects encoded in partially linear models by OLS regression of outcome residuals on exposure residuals after confounder adjustment, showing comparable or better performance than AIPW/TMLE in simulations and a pregnancy cohort study.