2 citations · 4 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
Targeted learning in observational studies with multi-valued treatments: An evaluation of antipsychotic drug treatment safety
Jason Poulos, Marcela Horvitz-Lennon, Katya Zelevinsky +6
We investigate estimation of causal effects of multiple competing (multi-valued) treatments in the absence of randomization. Our work is motivated by an intention-to-treat study of…