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stat.ME2023
Sensitivity Analysis of Causal Treatment Effect Estimation for Clustered Observational Data with Unmeasured Confounding
Yang Ou, Lu Tang, Chung-Chou H. Chang
Identifying causal treatment (or exposure) effects in observational studies requires the data to satisfy the unconfoundedness assumption which is not testable using the observed da…
stat.ME2023
Covariate-guided Bayesian mixture model for multivariate time series
Haoyi Fu, Lu Tang, Ori Rosen +3
With rapid development of techniques to measure brain activity and structure, statistical methods for analyzing modern brain-imaging play an important role in the advancement of sc…