10 citations · 18 across the 11 of their papers we have counts for
11 papers
Sequentially-Rerandomized Switchback Experiments
Zhenghao Zeng, Christopher Adjaho, Alonso Bucarey +5
Large-scale online platforms and marketplace systems often evaluate new policies through experiments that randomize treatment across operational units (e.g., geographies, regions,…
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…
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…
Causal Inference with High-dimensional Discrete Covariates
Zhenghao Zeng, Sivaraman Balakrishnan, Yanjun Han +1
When estimating causal effects from observational studies, researchers often need to adjust for many covariates to deconfound the non-causal relationship between exposure and outco…
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
Jin-Hong Du, Zhenghao Zeng, Edward H. Kennedy +2
With the evolution of single-cell RNA sequencing techniques into a standard approach in genomics, it has become possible to conduct cohort-level causal inferences based on single-c…
Continuous Treatment Effects with Surrogate Outcomes
Zhenghao Zeng, David Arbour, Avi Feller +4
In many real-world causal inference applications, the primary outcomes (labels) are often partially missing, especially if they are expensive or difficult to collect. If the missin…
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…
Efficient Generalization and Transportation
Zhenghao Zeng, Edward H. Kennedy, Lisa M. Bodnar +1
When estimating causal effects, it is important to assess external validity, i.e., determine how useful a given study is to inform a practical question for a specific target popula…
Covariate-assisted bounds on causal effects with instrumental variables
Alexander W. Levis, Matteo Bonvini, Zhenghao Zeng +2
When an exposure of interest is confounded by unmeasured factors, an instrumental variable (IV) can be used to identify and estimate certain causal contrasts. Identification of the…
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses
Zhenghao Zeng, Yuqi Gu, Gongjun Xu
Latent class models are powerful statistical modeling tools widely used in psychological, behavioral, and social sciences. In the modern era of data science, researchers often have…
On the Phase Transition of Wilk's Phenomenon
Yinqiu He, Bo Meng, Zhenghao Zeng +1
Wilk's theorem, which offers universal chi-squared approximations for likelihood ratio tests, is widely used in many scientific hypothesis testing problems. For modern datasets wit…