| Identifying causal effects with proxy variables of an unmeasured confounder W Miao, Z Geng, EJ Tchetgen Tchetgen Biometrika 105 (4), 987-993, 2018 | 272 | 2018 |
| An introduction to proximal causal learning EJT Tchetgen, A Ying, Y Cui, X Shi, W Miao arXiv preprint arXiv:2009.10982, 2020 | 135 | 2020 |
| A selective review of negative control methods in epidemiology X Shi, W Miao, ET Tchetgen Current epidemiology reports 7, 190-202, 2020 | 119 | 2020 |
| Causal inference K Kuang, L Li, Z Geng, L Xu, K Zhang, B Liao, H Huang, P Ding, W Miao, ... Engineering 6 (3), 253-263, 2020 | 113 | 2020 |
| Identifiability of normal and normal mixture models with nonignorable missing data W Miao, P Ding, Z Geng Journal of the American Statistical Association 111 (516), 1673-1683, 2016 | 108 | 2016 |
| Multiply robust causal inference with double-negative control adjustment for categorical unmeasured confounding X Shi, W Miao, JC Nelson, EJ Tchetgen Tchetgen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020 | 97 | 2020 |
| Semiparametric proximal causal inference Y Cui, H Pu, X Shi, W Miao, E Tchetgen Tchetgen Journal of the American Statistical Association, 1-12, 2023 | 80 | 2023 |
| On varieties of doubly robust estimators under missingness not at random with a shadow variable W Miao, EJ Tchetgen Tchetgen Biometrika 103 (2), 475-482, 2016 | 74 | 2016 |
| A confounding bridge approach for double negative control inference on causal effects W Miao, X Shi, ET Tchetgen arXiv preprint arXiv:1808.04945, 2018 | 69 | 2018 |
| Semiparametric estimation with data missing not at random using an instrumental variable BL Sun, L Liu, W Miao, K Wirth, J Robins, EJT Tchetgen Statistica Sinica 28 (4), 1965, 2018 | 47 | 2018 |
| Proximal causal inference for complex longitudinal studies A Ying, W Miao, X Shi, EJ Tchetgen Tchetgen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 32 | 2023 |
| Identification, doubly robust estimation, and semiparametric efficiency theory of nonignorable missing data with a shadow variable W Miao, L Liu, ET Tchetgen, Z Geng arXiv preprint arXiv:1509.02556, 2015 | 32 | 2015 |
| Invited commentary: bias attenuation and identification of causal effects with multiple negative controls W Miao, E Tchetgen Tchetgen American journal of epidemiology 185 (10), 950-953, 2017 | 27 | 2017 |
| Identification and inference with nonignorable missing covariate data W Miao, ET Tchetgen Statistica Sinica 28 (4), 2049, 2018 | 26 | 2018 |
| Theory for identification and inference with synthetic controls: a proximal causal inference framework X Shi, K Li, W Miao, M Hu, ET Tchetgen arXiv preprint arXiv:2108.13935, 2021 | 24 | 2021 |
| Identifying effects of multiple treatments in the presence of unmeasured confounding W Miao, W Hu, EL Ogburn, XH Zhou Journal of the American Statistical Association 118 (543), 1953-1967, 2023 | 22 | 2023 |
| Data integration in causal inference X Shi, Z Pan, W Miao Wiley Interdisciplinary Reviews: Computational Statistics 15 (1), e1581, 2023 | 19 | 2023 |
| Identification and inference for marginal average treatment effect on the treated with an instrumental variable L Liu, W Miao, B Sun, J Robins, ET Tchetgen Statistica sinica 30 (3), 1517, 2020 | 19 | 2020 |
| Double negative control inference in test-negative design studies of vaccine effectiveness KQ Li, X Shi, W Miao, E Tchetgen Tchetgen Journal of the American Statistical Association, 1-12, 2023 | 17 | 2023 |
| Improving efficiency of inference in clinical trials with external control data X Li, W Miao, F Lu, XH Zhou Biometrics 79 (1), 394-403, 2023 | 16 | 2023 |
Eric J Tchetgen TchetgenUniversity ProfessorVerified email at wharton.upenn.edu
