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stat.ME2020
A framework for causal inference in the presence of extreme inverse probability weights: the role of overlap weights
Roland A. Matsouaka, Yunji Zhou
In this paper, we consider recent progress in estimating the average treatment effect when extreme inverse probability weights are present and focus on methods that account for a p…
stat.ME2020
Propensity score weighting under limited overlap and model misspecification
Yunji Zhou, Roland A. Matsouaka, Laine Thomas
Propensity score (PS) weighting methods are often used in non-randomized studies to adjust for confounding and assess treatment effects. The most popular among them, the inverse pr…