| Semi-supervised triply robust inductive transfer learning T Cai, M Li, M Liu Journal of the American Statistical Association, 1-11, 2024 | 21 | 2024 |
| Doubly robust augmented model accuracy transfer inference with high dimensional features D Zhou, M Liu, M Li, T Cai Journal of the American Statistical Association, 1-26, 2024 | 19 | 2024 |
| Inference in high dimensional linear measurement error models M Li, R Li, Y Ma Journal of Multivariate Analysis 184, 104759, 2021 | 17 | 2021 |
| Semiparametric regression for measurement error model with heteroscedastic error M Li, Y Ma, R Li Journal of multivariate analysis 171, 320-338, 2019 | 11 | 2019 |
| Investigation of key climatic factors affecting asphalt pavement roughness in different climate regions C Chen, Y Deng, M Li, X Shi Transportation Research Part D: Transport and Environment 122, 103877, 2023 | 6 | 2023 |
| Efficient estimation in a partially specified nonignorable propensity score model M Li, Y Ma, J Zhao Computational Statistics & Data Analysis 174, 107322, 2022 | 3 | 2022 |
| Model-assisted and knowledge-guided transfer regression for the underrepresented population D Zhou, M Li, T Cai, M Liu arXiv preprint arXiv:2410.06484, 2024 | 1 | 2024 |
| Multisource representation learning for pediatric knowledge extraction from electronic health records M Li, X Li, K Pan, A Geva, D Yang, SM Sweet, CL Bonzel, ... NPJ Digital Medicine 7 (1), 319, 2024 | | 2024 |
| Multi-Source Graph Synthesis (MUGS) for Pediatric Knowledge Graphs from Electronic Health Records M Li, X Li, K Pan, A Geva, D Yang, SM Sweet, CL Bonzel, VA Panickan, ... medRxiv, 2024.01. 14.24301302, 2024 | | 2024 |
| Statistical Inference with Corrupted Data M Li | | 2020 |
