| Inflammatory endotype-associated airway microbiome in chronic obstructive pulmonary disease clinical stability and exacerbations: A multicohort longitudinal analysis Z Wang, N Locantore, K Haldar, MY Ramsheh, AS Beech, W Ma, ... American Journal of Respiratory and Critical Care Medicine 203 (12), 1488-1502, 2021 | 152 | 2021 |
| Testing hypotheses of covariate-adaptive randomized clinical trials W Ma, F Hu, L Zhang Journal of the American Statistical Association 110 (510), 669-680, 2015 | 84 | 2015 |
| Multi-omics analyses of airway host–microbe interactions in chronic obstructive pulmonary disease identify potential therapeutic interventions Z Yan, B Chen, Y Yang, X Yi, M Wei, G Ecklu-Mensah, MM Buschmann, ... Nature Microbiology 7 (9), 1361-1375, 2022 | 81 | 2022 |
| Spatial distribution of tuberculosis and its association with meteorological factors in mainland China Y Zhang, M Liu, SS Wu, H Jiang, J Zhang, S Wang, W Ma, Q Li, Y Ma, ... BMC infectious diseases 19, 1-7, 2019 | 57 | 2019 |
| Statistical inference for covariate-adaptive randomization procedures W Ma, Y Qin, Y Li, F Hu Journal of the American Statistical Association 115 (531), 1488-1497, 2020 | 54 | 2020 |
| Airway dysbiosis accelerates lung function decline in chronic obstructive pulmonary disease W Liang, Y Yang, S Gong, M Wei, Y Ma, R Feng, J Gao, X Liu, F Tu, W Ma, ... Cell Host & Microbe 31 (6), 1054-1070. e9, 2023 | 37 | 2023 |
| Regression analysis for covariate‐adaptive randomization: A robust and efficient inference perspective W Ma, F Tu, H Liu Statistics in Medicine 41 (29), 5645-5661, 2022 | 31 | 2022 |
| The results of implementing zone of proximal development on learning outcomes R Baker, W Ma, Y Zhao, S Wang, Z Ma International Conference on Educational Data Mining, 749-753, 2020 | 24 | 2020 |
| Towards helping teachers select optimal content for students X Zou, W Ma, Z Ma, RS Baker International Conference on Artificial Intelligence in Education, 413-417, 2019 | 23 | 2019 |
| Pairwise sequential randomization and its properties Y Qin, Y Li, W Ma, F Hu arXiv preprint arXiv:1611.02802, 2016 | 21 | 2016 |
| Lasso-adjusted treatment effect estimation under covariate-adaptive randomization H Liu, F Tu, W Ma Biometrika 110 (2), 431-447, 2023 | 18 | 2023 |
| Studying the effectiveness of an online language learning platform in China R Baker, F Wang, Z Ma, W Ma, S Zheng Journal of Interactive Learning Research 29 (1), 5-24, 2018 | 18 | 2018 |
| The impact of misclassification on covariate‐adaptive randomized clinical trials T Wang, W Ma Biometrics 77 (2), 451-464, 2021 | 15 | 2021 |
| Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates Y Li, W Ma, Y Qin, F Hu Statistical Methods in Medical Research 30 (9), 2148-2164, 2021 | 12 | 2021 |
| Statistical inference of adaptive randomized clinical trials for personalized medicine F Hu, Y Hu, W Ma, L Zhang, H Zhu Clinical Investigation 5 (4), 415-425, 2015 | 11 | 2015 |
| Incorporating covariates information in adaptive clinical trials for precision medicine W Zhao, W Ma, F Wang, F Hu Pharmaceutical Statistics 21 (1), 176-195, 2022 | 10 | 2022 |
| A new and unified family of covariate adaptive randomization procedures and their properties W Ma, P Li, LX Zhang, F Hu Journal of the American Statistical Association, 2022 | 8 | 2022 |
| Adaptive randomization via Mahalanobis distance Y Qin, Y Li, W Ma, H Yang, F Hu Statistica Sinica, 2022 | 8 | 2022 |
| carat: An R package for covariate-adaptive randomization in clinical trials W Ma, X Ye, F Tu, F Hu Journal of Statistical Software 107, 1-47, 2023 | 7 | 2023 |
| A general theory of regression adjustment for covariate-adaptive randomization: OLS, Lasso, and beyond H Liu, F Tu, W Ma arXiv preprint arXiv:2011.09734, 2020 | 7 | 2020 |
