| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 239 | 2022 |
| The united states covid-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022 | 107 | 2022 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 92 | 2021 |
| Meta-analysis of mismatch negativity to simple versus complex deviants in schizophrenia M Avissar, S Xie, B Vail, J Lopez-Calderon, Y Wang, DC Javitt Schizophrenia research 191, 25-34, 2018 | 87 | 2018 |
| Survival-convolution models for predicting COVID-19 cases and assessing effects of mitigation strategies Q Wang, S Xie, Y Wang, D Zeng Frontiers in public health 8, 325, 2020 | 42 | 2020 |
| Efficient ℓ0‐norm feature selection based on augmented and penalized minimization X Li, S Xie, D Zeng, Y Wang Statistics in medicine 37 (3), 473-486, 2018 | 35 | 2018 |
| Evaluating effectiveness of public health intervention strategies for mitigating COVID‐19 pandemic S Xie, W Wang, Q Wang, Y Wang, D Zeng Statistics in Medicine 41 (9), 3820-3836, 2022 | 11 | 2022 |
| Identifying disease-associated biomarker network features through conditional graphical model S Xie, X Li, P McColgan, RI Scahill, D Zeng, Y Wang Biometrics 76 (3), 995-1006, 2020 | 10 | 2020 |
| Learning subject-specific directed acyclic graphs with mixed effects structural equation models from observational data X Li, S Xie, P McColgan, SJ Tabrizi, RI Scahill, D Zeng, Y Wang Frontiers in genetics 9, 430, 2018 | 10 | 2018 |
| Predictive testing for neurodegenerative diseases in the age of next‐generation sequencing J Goldman, S Xie, D Green, A Naini, MM Mansukhani, K Marder Journal of genetic counseling 30 (2), 553-562, 2021 | 8 | 2021 |
| Conditional Gaussian graphical model for estimating personalized disease symptom networks S Xie, E McDonnell, Y Wang Statistics in medicine 41 (3), 543-553, 2022 | 4 | 2022 |
| Integrative network learning for multimodality biomarker data S Xie, D Zeng, Y Wang The Annals of Applied Statistics 15 (1), 64-87, 2021 | 4 | 2021 |
| Functional support vector machine S Xie, RT Ogden Biostatistics 25 (4), 1178-1194, 2024 | 2 | 2024 |
| Multiple domain and multiple kernel outcome-weighted learning for estimating individualized treatment regimes S Xie, T Tarpey, E Petkova, R Todd Ogden Journal of Computational and Graphical Statistics 31 (4), 1375-1383, 2022 | 1 | 2022 |
| Dynamic undirected graphical models for time‐varying clinical symptom and neuroimaging networks EI McDonnell, S Xie, K Marder, F Cui, Y Wang Statistics in Medicine 43 (21), 4131-4147, 2024 | | 2024 |
| Network-Assisted Mediation Analysis with High-Dimensional Neuroimaging Mediators B Shi, Y Liu, S Xie, X Zhu, Y Wang Machine Learning for Healthcare, Proceedings of Machine Learning Research …, 2024 | | 2024 |
| Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components S Xie, D Zeng, Y Wang Biometrics 80 (2), ujae033, 2024 | | 2024 |
| Statistical Methods for Constructing Heterogeneous Biomarker Networks S Xie Columbia University, 2019 | | 2019 |
