| An Introduction to Proximal Causal Learning EJT Tchetgen, A Ying, Y Cui, X Shi, W Miao arXiv preprint arXiv:2009.10982, 2020 | 173 | 2020 |
| Semiparametric proximal causal inference Y Cui, H Pu, X Shi, W Miao, E Tchetgen Tchetgen Journal of the American Statistical Association 119 (546), 1348-1359, 2024 | 107 | 2024 |
| Estimating heterogeneous treatment effects with right-censored data via causal survival forests Y Cui, MR Kosorok, E Sverdrup, S Wager, R Zhu Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 96 | 2023 |
| Improving the generation and selection of virtual populations in quantitative systems pharmacology models TR Rieger, RJ Allen, L Bystricky, Y Chen, GW Colopy, Y Cui, A Gonzalez, ... Progress in biophysics and molecular biology 139, 15-22, 2018 | 84 | 2018 |
| A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity Y Cui, E Tchetgen Tchetgen Journal of the American Statistical Association 116 (533), 162-173, 2020 | 78 | 2020 |
| Tree based weighted learning for estimating individualized treatment rules with censored data Y Cui, R Zhu, M Kosorok Electronic journal of statistics 11 (2), 3927, 2017 | 70 | 2017 |
| Selective machine learning of doubly robust functionals Y Cui, EJ Tchetgen Tchetgen Biometrika 111 (2), 517-535, 2024 | 63* | 2024 |
| Consistency of survival tree and forest models: Splitting bias and correction Y Cui, R Zhu, M Zhou, M Kosorok Statistica Sinica 32 (3), 1245-1267, 2022 | 48* | 2022 |
| Nonparametric generalized fiducial inference for survival functions under censoring Y Cui, J Hannig Biometrika 106 (3), 501-518, 2019 | 40 | 2019 |
| An introduction to proximal causal inference EJ Tchetgen Tchetgen, A Ying, Y Cui, X Shi, W Miao Statistical Science 39 (3), 375-390, 2024 | 23 | 2024 |
| Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox Y Cui Harvard Data Science Review 3 (3), 2021 | 21 | 2021 |
| Instrumental variable estimation of marginal structural mean models for time-varying treatment H Michael, Y Cui, SA Lorch, EJ Tchetgen Tchetgen Journal of the American Statistical Association 119 (546), 1240-1251, 2024 | 17* | 2024 |
| Instrumental variable estimation of the marginal structural Cox model for time-varying treatments Y Cui, H Michael, F Tanser, E Tchetgen Tchetgen Biometrika 110 (1), 101-118, 2023 | 15 | 2023 |
| On a necessary and sufficient identification condition of optimal treatment regimes with an instrumental variable Y Cui, ET Tchetgen Statistics & Probability Letters 178, 109180, 2021 | 13 | 2021 |
| Selective machine learning of the average treatment effect with an invalid instrumental variable B Sun, Y Cui, ET Tchetgen Journal of Machine Learning Research 23 (204), 1-40, 2022 | 11 | 2022 |
| Dimension Reduction Forests: Local Variable Importance Using Structured Random Forests JD Loyal, R Zhu, Y Cui, X Zhang Journal of Computational and Graphical Statistics 31 (4), 1104-1113, 2022 | 9 | 2022 |
| Proximal Causal Inference for Marginal Counterfactual Survival Curves A Ying, Y Cui, EJT Tchetgen arXiv preprint arXiv:2204.13144, 2022 | 9 | 2022 |
| Marginal Structural Models for Time-varying Endogenous Treatments: A Time-Varying Instrumental Variable Approach EJT Tchetgen, H Michael, Y Cui arXiv preprint arXiv:1809.05422, 2018 | 9 | 2018 |
| Machine Intelligence for Individualized Decision Making Under a Counterfactual World: A Rejoinder Y Cui, ET Tchetgen Journal of the American Statistical Association 116 (533), 200-206, 2021 | 7 | 2021 |
| Statistical inference problems in sequential parallel comparison design Y Cui, S Ogbagaber, HMJ Hung Journal of biopharmaceutical statistics 29 (6), 1116-1129, 2019 | 7 | 2019 |