3 papers
stat.ME2026
Robust Weighted Triangulation of Causal Effects Under Model Uncertainty
Rohit Bhattacharya, Ina Ocelli, Ted Westling
A fundamental challenge in causal inference with observational data is correct specification of a causal model. When there is model uncertainty, analysts may seek to use estimates…
stat.ME2025
Nonparametric Sensitivity Analysis for Unobserved Confounding with Survival Outcomes
Rui Hu, Ted Westling
In observational studies, the observed association between an exposure and outcome of interest may be distorted by unobserved confounding. Causal sensitivity analysis can be used t…
stat.ME2024
Doubly robust estimation and inference for a log-concave counterfactual density
Daeyoung Ham, Ted Westling, Charles R. Doss
We consider the problem of causal inference based on observational data (or the related missing data problem) with a binary or discrete treatment variable. In that context, we stud…