| Efficient treatment effect estimation in observational studies under heterogeneous partial interference Z Qu, R Xiong, J Liu, G Imbens arXiv preprint arXiv:2107.12420, 2021 | 16 | 2021 |
| Inference for matched tuples and fully blocked factorial designs Y Bai, J Liu, M Tabord-Meehan arXiv preprint arXiv:2206.04157, 2022 | 10 | 2022 |
| Inference in cluster randomized trials with matched pairs Y Bai, J Liu, AM Shaikh, M Tabord-Meehan arXiv preprint arXiv:2211.14903, 2022 | 7 | 2022 |
| On the efficiency of finely stratified experiments Y Bai, J Liu, AM Shaikh, M Tabord-Meehan arXiv preprint arXiv:2307.15181, 2023 | 3 | 2023 |
| Inference for Two-stage Experiments under Covariate-Adaptive Randomization J Liu arXiv preprint arXiv:2301.09016, 2023 | 2 | 2023 |
| Learning to coordinate with humans using action features M Ma, J Liu, S Sokota, M Kleiman-Weiner, J Foerster arXiv preprint arXiv:2201.12658, 2022 | 2 | 2022 |
| Efficient treatment effect estimation in observational studies under heterogeneous partial interference Q Zhaonan, X Ruoxuan, L Jizhou arXiv preprint arXiv:2107.12420 7, 2022 | 2 | 2022 |
| Revisiting the analysis of matched‐pair and stratified experiments in the presence of attrition Y Bai, MH Hsieh, J Liu, M Tabord‐Meehan Journal of Applied Econometrics 39 (2), 256-268, 2024 | 1 | 2024 |
| Learning intuitive policies using action features M Ma, J Liu, S Sokota, M Kleiman-Weiner, JN Foerster International Conference on Machine Learning, 23358-23372, 2023 | 1 | 2023 |
| Proximal causal inference for synthetic control with surrogates J Liu, ET Tchetgen, C Varjao International Conference on Artificial Intelligence and Statistics, 730-738, 2024 | | 2024 |
Max Tabord-MeehanUniversity of ChicagoVerified email at uchicago.edu
