| A survey on Neyman‐Pearson classification and suggestions for future research X Tong, Y Feng, A Zhao Wiley Interdisciplinary Reviews: Computational Statistics 8 (2), 64-81, 2016 | 52 | 2016 |
| Covariate-adjusted Fisher randomization tests for the average treatment effect A Zhao, P Ding Journal of Econometrics 225 (2), 278-294, 2021 | 40 | 2021 |
| Neyman-Pearson classification under high-dimensional settings A Zhao, Y Feng, L Wang, X Tong Journal of Machine Learning Research 17 (212), 1-39, 2016 | 29 | 2016 |
| To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates A Zhao, P Ding Journal of the American Statistical Association 119 (545), 450-460, 2024 | 23 | 2024 |
| Randomization-based causal inference from split-plot designs A Zhao, P Ding, R Mukerjee, T Dasgupta | 21* | 2018 |
| Regression-based causal inference with factorial experiments: estimands, model specifications and design-based properties A Zhao, P Ding Biometrika 109 (3), 799-815, 2022 | 17 | 2022 |
| MSIQ: joint modeling of multiple RNA-seq samples for accurate isoform quantification WV Li, A Zhao, S Zhang, JJ Li The annals of applied statistics 12 (1), 510, 2018 | 10 | 2018 |
| No star is good news: A unified look at rerandomization based on p-values from covariate balance tests A Zhao, P Ding Journal of Econometrics 241 (1), 105724, 2024 | 9 | 2024 |
| Reconciling design-based and model-based causal inferences for split-plot experiments A Zhao, P Ding The Annals of Statistics 50 (2), 1170-1192, 2022 | 9 | 2022 |
| Covariate adjustment in multiarmed, possibly factorial experiments A Zhao, P Ding Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 8 | 2023 |
| Evidence factors from multiple, possibly invalid, instrumental variables A Zhao, Y Lee, DS Small, B Karmakar The Annals of Statistics 50 (3), 1266-1296, 2022 | 5 | 2022 |
| Rerandomization and covariate adjustment in split-plot designs W Shi, A Zhao, H Liu arXiv preprint arXiv:2209.12385, 2022 | 2 | 2022 |
| Covariate adjustment in randomized experiments with missing outcomes and covariates A Zhao, P Ding, F Li Biometrika, asae017, 2024 | | 2024 |
| A randomization-based theory for preliminary testing of covariate balance in controlled trials A Zhao, P Ding Statistics in Biopharmaceutical Research, 1-14, 2023 | | 2023 |
| Time for a New Angle!': Unravel the Mystery of Split-Plot Designs via the Potential Outcomes Prism A Zhao | | 2016 |
| EVIDENCE FACTORS FROM MULTIPLE, POSSIBLY INVALID, INSTRUMENTAL VARIABLES BY ANQI ZHAO, YOUJIN LEE, DYLAN S. SMALL 3 AND BIKRAM KARMAKAR 4 A ZHAO, Y LEE | | |
Peng DingUniversity of California, BerkeleyVerified email at berkeley.edu
