| Counterfactual representation learning with balancing weights S Assaad, S Zeng, C Tao, S Datta, N Mehta, R Henao, F Li, LC Duke International Conference on Artificial Intelligence and Statistics, 1972-1980, 2021 | 58 | 2021 |
| Propensity score weighting for covariate adjustment in randomized clinical trials S Zeng, F Li, R Wang, F Li Statistics in medicine 40 (4), 842-858, 2021 | 47 | 2021 |
| Social bonds do not mediate the relationship between early adversity and adult glucocorticoids in wild baboons S Rosenbaum, S Zeng, FA Campos, LR Gesquiere, J Altmann, SC Alberts, ... Proceedings of the National Academy of Sciences 117 (33), 20052-20062, 2020 | 47 | 2020 |
| Subgroup balancing propensity score J Dong, JL Zhang, S Zeng, F Li Statistical Methods in Medical Research 29 (3), 659-676, 2020 | 43 | 2020 |
| Enabling counterfactual survival analysis with balanced representations P Chapfuwa, S Assaad, S Zeng, MJ Pencina, L Carin, R Henao Proceedings of the Conference on Health, Inference, and Learning, 133-145, 2021 | 25 | 2021 |
| Causal Mediation Analysis for Sparse and Irregular Longitudinal Data S Zeng, S Rosenbaum, E Archie, S Alberts, F Li arXiv preprint arXiv:2007.01796, 2020 | 21 | 2020 |
| Causal transfer random forest: Combining logged data and randomized experiments for robust prediction S Zeng, MA Bayir, JJ Pfeiffer III, D Charles, E Kiciman Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 20 | 2021 |
| Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-observations S Zeng, F Li, L Hu arXiv preprint arXiv:2103.00605, 2021 | 15 | 2021 |
| Is being an only child harmful to psychological health?: evidence from an instrumental variable analysis of China's one‐child policy S Zeng, F Li, P Ding Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2020 | 15 | 2020 |
| RNN-based counterfactual prediction, with an application to homestead policy and public schooling J Poulos, S Zeng arXiv. org Papers, 2020 | 10 | 2020 |
| Survival Analysis meets Counterfactual Inference P Chapfuwa, S Assaad, S Zeng, M Pencina, L Carin, R Henao arXiv preprint arXiv:2006.07756, 2020 | 6 | 2020 |
| Double Robust Representation Learning for Counterfactual Prediction S Zeng, S Assaad, C Tao, S Datta, L Carin, F Li arXiv preprint arXiv:2010.07866, 2020 | 5 | 2020 |
| Robust Neural Network for Causal Invariant Features Extraction S Zeng, P Zhang, D Charles, E Manavoglu, E Kıcıman NeurIPS 2019 Workshop,“Do the right thing”: machine learning and causal …, 2019 | 2 | 2019 |
| Causal Mediation Analysis for Longitudinal Mediators and Survival Outcomes S Zeng, EC Lange, EA Archie, FA Campos, SC Alberts, F Li arXiv preprint arXiv:2104.08344, 2021 | | 2021 |
| RNN-based counterfactual prediction, with an application to homestead policy and public schooling J Poulos, S Zeng arXiv preprint arXiv:1712.03553, 2017 | | 2017 |
| A Markov-Switching Autoregressive Model for the Underwriting “Cycle” FY Feng, L Li, MR Powers, S Zeng | | |
Fan LiDepartment of Statistical Science, Duke UniversityПотвърден имейл адрес: duke.edu
