3 papers
stat.ME2026
A Weighting Framework for Clusters as Confounders in Observational Studies
Eli Ben-Michael, Avi Feller, Luke Keele
When units in observational studies are clustered in groups, such as students in schools or patients in hospitals, researchers often address confounding by adjusting for cluster-le…
stat.ME2025
Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
Andy A. Shen, Eli Ben-Michael, Avi Feller +2
While balancing covariates between groups is central for observational causal inference, selecting which features to balance remains a challenging problem. Kernel balancing is a pr…
stat.ME2025
Sensitivity Analysis for Clustered Observational Studies with an Application to the Effectiveness of Magnet Nursing Hospitals
Melody Huang, Eli Ben-Michael, Matthew McHugh +1
In a clustered observational study, treatment is assigned to groups and all units within the group are exposed to the treatment. Here, we use a clustered observational study (COS)…