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Shuxi Zeng
Shuxi Zeng
duke.edu의 이메일 확인됨 - 홈페이지
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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
222020
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
202021
Subgroup balancing propensity score
J Dong, JL Zhang, S Zeng, F Li
Statistical Methods in Medical Research 29 (3), 659-676, 2020
192020
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
172021
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
72021
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
62021
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
52020
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
52020
Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-observations
S Zeng, F Li, L Hu
arXiv preprint arXiv:2103.00605, 2021
32021
Survival Analysis meets Counterfactual Inference
P Chapfuwa, S Assaad, S Zeng, M Pencina, L Carin, R Henao
arXiv preprint arXiv:2006.07756, 2020
32020
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
22020
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
22019
RNN-based counterfactual prediction, with an application to homestead policy and public schooling
J Poulos, S Zeng
arXiv preprint arXiv:1712.03553, 2017
2*2017
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. org Papers, 2020
2020
A Markov-Switching Autoregressive Model for the Underwriting “Cycle”
FY Feng, L Li, MR Powers, S Zeng
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학술자료 1–16