Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: A plasmode simulation.
Mitchell M ConoverKenneth J RothmanTil StürmerAlan R EllisCharles PooleMichele Jonsson FunkPublished in: Statistics in medicine (2021)
Differential misclassification of a strong predictor of exposure resulted in biased and imprecise IPTW estimates. Asymmetric trimming reduced bias, with more precise estimates than matching.