2 papers
stat.ME2026
Bounding causal effects with an unknown mixture of informative and non-informative missingness
Max Rubinstein, Denis Agniel, Larry Han +2
In experimental and observational data settings, researchers often have limited knowledge of the reasons for missing outcomes. To address this uncertainty, we propose bounds on cau…
stat.ME2025
Autoregressive models for panel data causal inference with application to state-level opioid policies
Joseph Antonelli, Max Rubinstein, Denis Agniel +8
Motivated by the study of state opioid policies, we propose a novel approach that uses autoregressive models for causal effect estimation in settings with panel data and staggered…