Corwin Matthew Zigler, Francesca Dominici, Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model-Averaged Causal Effects, Journal of the American Statistical ...

While propensity score methods offer a valuable tool for reducing confounding in observational studies, researchers must be aware of their limitations. It's often recommended to conduct sensitivity ...

We show that propensity score matching (PSM), an enormously popular method of preprocessing data for causal inference, often accomplishes the opposite of its intended goal—thus increasing imbalance, ...

An asthma case management program increased preventive care but did not significantly decrease markers of exacerbations.

To address this issue, bootstrapping method after propensity score adjustment was used to compare the mean difference between treatment groups on time to all-cause discontinuation. [24] ...

The propensity score method is commonly used in retrospective studies to minimize differences in baseline covariates between treatment groups. 12-14 To compare the probability of controlled BP ...

[Surgical outcomes after laparoscopy-assisted distal gastrectomy and open distal gastrectomy for patients with advanced gastric cancer: a case-control study using a propensity score method ...