| Principled approaches to missing data in epidemiologic studies NJ Perkins, SR Cole, O Harel, EJ Tchetgen Tchetgen, B Sun, EM Mitchell, ... American journal of epidemiology 187 (3), 568-575, 2018 | 263 | 2018 |
| Multiple imputation for incomplete data in epidemiologic studies O Harel, EM Mitchell, NJ Perkins, SR Cole, EJ Tchetgen Tchetgen, B Sun, ... American journal of epidemiology 187 (3), 576-584, 2018 | 212 | 2018 |
| On inverse probability weighting for nonmonotone missing at random data B Sun, EJ Tchetgen Tchetgen Journal of the American Statistical Association 113 (521), 369-379, 2018 | 82 | 2018 |
| The GENIUS approach to robust Mendelian randomization inference EJ Tchetgen Tchetgen, B Sun, S Walter Statistical Science 36 (3), 443-464, 2021 | 73 | 2021 |
| Semiparametric estimation with data missing not at random using an instrumental variable B Sun, L Liu, W Miao, K Wirth, J Robins, EJ Tchetgen Tchetgen Statistica Sinica 28 (4), 1965, 2018 | 46 | 2018 |
| Inverse-probability-weighted estimation for monotone and nonmonotone missing data B Sun, NJ Perkins, SR Cole, O Harel, EM Mitchell, EF Schisterman, ... American journal of epidemiology 187 (3), 585-591, 2018 | 46 | 2018 |
| Discrete choice models for nonmonotone nonignorable missing data: Identification and inference EJ Tchetgen Tchetgen, L Wang, B Sun Statistica Sinica 28 (4), 2069, 2018 | 37 | 2018 |
| Estimation of kinship coefficient in structured and admixed populations using sparse sequencing data J Dou, B Sun, X Sim, JD Hughes, DF Reilly, ES Tai, J Liu, C Wang PLoS Genetics 13 (9), e1007021, 2017 | 32 | 2017 |
| Identification and inference for marginal average treatment effect on the treated with an instrumental variable L Liu, W Miao, B Sun, J Robins, EJ Tchetgen Tchetgen Statistica Sinica 30 (3), 1517, 2020 | 19 | 2020 |
| GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments T Ye, Z Liu, B Sun, EJ Tchetgen Tchetgen Journal of the Royal Statistical Society Series B: Statistical Methodology, 2024 | 16 | 2024 |
| Mendelian randomization mixed‐scale treatment effect robust identification and estimation for causal inference Z Liu, T Ye, B Sun, M Schooling, E Tchetgen Tchetgen Biometrics, 2021 | 14* | 2021 |
| High-dimensional model-assisted inference for local average treatment effects with instrumental variables B Sun, Z Tan Journal of Business & Economic Statistics 40 (4), 1732-1744, 2022 | 11 | 2022 |
| MR-Corr2: a two-sample Mendelian randomization method that accounts for correlated horizontal pleiotropy using correlated instrumental variants Q Cheng, T Qiu, X Chai, B Sun, Y Xia, X Shi, J Liu Bioinformatics 38 (2), 303-310, 2022 | 11 | 2022 |
| A multinomial regression approach to model outcome heterogeneity BL Sun, T VanderWeele, EJ Tchetgen Tchetgen American journal of epidemiology 186 (9), 1097-1103, 2017 | 10 | 2017 |
| Doubly Robust Regression Analysis for Data Fusion K Evans, BL Sun, J Robins, EJ Tchetgen Tchetgen Statistica Sinica 31, 1285-1307, 2021 | 9 | 2021 |
| Semiparametric Efficient G-estimation with Invalid Instrumental Variables B Sun, Z Liu, E Tchetgen Tchetgen Biometrika 110 (4), 953–971, 2023 | 8* | 2023 |
| Mediation analysis with multiple mediators under unmeasured mediator‐outcome confounding DS Wickramarachchi, LHM Lim, B Sun Statistics in Medicine 42 (4), 422-432, 2023 | 7 | 2023 |
| On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion B Sun, W Miao Statistica Sinica 32, 569-590, 2022 | 6 | 2022 |
| Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable B Sun, Y Cui, EJ Tchetgen Tchetgen Journal of Machine Learning Research 23 (204), 1-40, 2022 | 4 | 2022 |
| A stableness of resistance model for nonresponse adjustment with callback data W Miao, X Li, B Sun arXiv preprint arXiv:2112.02822, 2021 | 3 | 2021 |
Eric J Tchetgen TchetgenUniversity Professor在 wharton.upenn.edu 的电子邮件经过验证
