2 citations · 4 across the 3 of their papers we have counts for
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stat.ME2026
Vector incremental treatment effects
Denis Agniel, Max Rubinstein, Larry Han +5
Causal questions involving multiple binary treatments are poorly served by standard causal approaches. Potential outcomes grow exponentially with the number of treatments, many tre…
stat.ME2024
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.ME2024★ 2 cited
A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery
Larry Han, Yi Zhang, Meena Nathan +5
Congenital heart defects (CHD) are the most prevalent birth defects in the United States and surgical outcomes vary considerably across the country. The outcomes of treatment for C…