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20232026
most citedNonparametric identification and efficient estimation of causal effects with instrumental variables

5 citations · 7 across the 7 of their papers we have counts for

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5 papers · 1 filter

stat.ME2025

Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation

Zhenghao Zeng, David Arbour, Avi Feller +3

Human annotations play a crucial role in evaluating the performance of GenAI models. Two common challenges in practice, however, are missing annotations (the response variable of i…

stat.ME2025

Nonparametric Estimation of Local Treatment Effects with Continuous Instruments

Zhenghao Zeng, Alexander W. Levis, JungHo Lee +2

Instrumental variable methods are widely used to address unmeasured confounding, yet much of the existing literature has focused on the binary instrument setting. Extensions to con…

stat.ME2024

Intervention effects based on potential benefit

Alexander W. Levis, Eli Ben-Michael, Edward H. Kennedy

Optimal treatment rules are mappings from individual patient characteristics to tailored treatment assignments that maximize mean outcomes. In this work, we introduce a conditional…

stat.ME2024★ 5 cited

Nonparametric identification and efficient estimation of causal effects with instrumental variables

Alexander W. Levis, Edward H. Kennedy, Luke Keele

Instrumental variables are widely used in econometrics and epidemiology for identifying and estimating causal effects when an exposure of interest is confounded by unmeasured facto…

stat.ME2023★ 2 cited

Flexibly Estimating and Interpreting Heterogeneous Treatment Effects of Laparoscopic Surgery for Cholecystitis Patients

Matteo Bonvini, Zhenghao Zeng, Miaoqing Yu +2

Laparoscopic surgery has been shown through a number of randomized trials to be an effective form of treatment for cholecystitis. Given this evidence, one natural question for clin…