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.

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.

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 .

2023年11月17日 · View a PDF of the paper titled Covariate adjustment in randomized experiments with missing outcomes and covariates, by Anqi Zhao and Peng Ding and Fan Li

Anqi Zhao. Unknown affiliation. Verified email at princeton.edu. Articles Cited by Public access. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. ... R Le, Y Huang, A Zhao, S Gao. Journal of Genetics and Genomics 47 (3), 123-130, 2020. 11: 2020: The system can't perform the operation now. Try again later. Articles ...

Anqi Zhao is an assistant professor in the Department of Statistics and Data Science, National University of Singapore (NUS). She got her PhD in statistics from Harvard in 2016 and joined NUS in 2019 after an excursion to the management consulting world.

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

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.

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