3 papers
stat.ME2026
Lost in Aggregation: The Causal Interpretation of the IV Estimand
Danielle Tsao, Krikamol Muandet, Frederick Eberhardt +1
Instrumental variable estimation has emerged as a standard approach to mitigating confounding bias in the social sciences and epidemiology, where conducting randomized experiments…
stat.ME2025
Data-Driven Adjustment for Multiple Treatments
Sara LaPlante, Sofia Triantafillou, Emilija PerkoviÄ
Covariate adjustment is one method of causal effect identification in non-experimental settings. Prior research provides routes for finding appropriate adjustments sets, but much o…
cs.AI2025
Identifying Conditional Causal Effects in MPDAGs
Sara LaPlante, Emilija PerkoviÄ
We consider identifying a conditional causal effect when a graph is known up to a maximally oriented partially directed acyclic graph (MPDAG). An MPDAG represents an equivalence cl…