2 papers
stat.ME2026
Beyond principal ignorability: Nonparametric sensitivity bounds for principal stratification
Xinyuan Chen, Michael O. Harhay, Fan Li
Principal stratification is an effective framework addressing intermediate variables in causal inference. However, point identification of the principal causal effects (PCEs) often…
stat.ME2026
Leveraging machine learning to estimate individualized treatment effects in cluster-randomized trials
Changjun Li, Xi Fang, Michael O. Harhay +4
Cluster-randomized trials (CRTs) are widely used to evaluate interventions delivered at the clinic, practice, or community level. Although standard analyses typically target averag…