4 papers
Functional Estimation under Proxy-Based Full-Law Identification
Helen Guo, AmirEmad Ghassami, Ilya Shpitser +1
We state general conditions under which the full-data law is identified in the presence of latent variables, leveraging key observed variables ("proxies") associated with unobserve…
Proximal Causal Inference for Hidden Outcomes
Helen Guo, AmirEmad Ghassami, Ilya Shpitser +1
Methods that rely on proxies, without imposing strong parametric structure, are increasingly used to deal with unobserved variables in causal inference. One influential line of thi…
Comparing Two Proxy Methods for Causal Identification
Helen Guo, Elizabeth L. Ogburn, Ilya Shpitser
Identifying causal effects in the presence of unmeasured variables is a fundamental challenge in causal inference, for which proxy variable methods have emerged as a powerful solut…
Sensitivity Analysis when Generalizing Causal Effects from Multiple Studies to a Target Population: Motivation from the ECHO Program
Bolun Liu, Trang Quynh Nguyen, Elizabeth A. Stuart +22
Unobserved effect modifiers can induce bias when generalizing causal effect estimates to target populations. In this work, we extend a sensitivity analysis framework assessing the…