Estimating the average treatment effect in randomized experiments with missing covariates. Time for a New Angle!': Unravel the Mystery of Split-Plot Designs via the Potential Outcomes Prism.

Anqi Zhao is an Assistant Professor in the Decision Sciences area. Her research interests are experimental design, causal inference, survey sampling, and missing data, with applications to social, biomedical, and business sciences.

Zhao Anqi Assistant Professor. E-mail: [email protected]. Research Interests: Causal inference, Experimental design

Zhao, A. and Ding, P. (2022). Regression-based causal inference with factorial experiments: estimands, model specifications and design-based properties . Biometrika , 109, 799--815 .

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Journal Article Biometrika · December 1, 2024 Covariate adjustment can improve precision in analysing randomized experiments. With fully observed data, regression adjustment and propensity score weighting are asymptotically equivalent in improving efficiency over unadjusted analysis. When some outcome ... Full text Cite.

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …

2023年9月25日 · Anqi Zhao (Ph.D. candidate) My research interests lie at the intersection of causal inference and machine learning, recently particularly in leveraging conformal inference for uncertainty quantification.

2025年3月4日 · Xuhui Zhao, Anqi Zhao, Zhenghao Liao, Ziqian Huang, Zhi Gao: A Computationally Efficient Visual SLAM for Low-light and Low-texture Environments Based on Neural Networks. RCAR 2023: 677-682