2 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
stat.AP2022★ 2 cited
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…