| An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China L Wang, Y Zhou, J He, B Zhu, F Wang, L Tang, M Kleinsasser, D Barker, ... Journal of Data Science 18 (3), 409-432, 2020 | 185 | 2020 |
| Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: data science call to arms D Ray, M Salvatore, R Bhattacharyya, L Wang, J Du, S Mohammed, ... Harv Data Sci Rev 2020 (Suppl 1), 10.1162, 2020 | 160 | 2020 |
| A review of multi‐compartment infectious disease models L Tang, Y Zhou, L Wang, S Purkayastha, L Zhang, J He, F Wang, ... International Statistical Review 88 (2), 462-513, 2020 | 117 | 2020 |
| A spatiotemporal epidemiological prediction model to inform county-level COVID-19 risk in the United States Y Zhou, L Wang, L Zhang, L Shi, K Yang, J He, Z Bangyao, W Overton, ... PubPub, 2020 | 53 | 2020 |
| Predictive big data analytics using the UK biobank data Y Zhou, L Zhao, N Zhou, Y Zhao, S Marino, T Wang, H Sun, AW Toga, ... Scientific reports 9 (1), 6012, 2019 | 28 | 2019 |
| High-dimensional mediation analysis in survival models C Luo, B Fa, Y Yan, Y Wang, Y Zhou, Y Zhang, Z Yu PLoS computational biology 16 (4), e1007768, 2020 | 27 | 2020 |
| The human adenovirus type 5 E4orf4 protein targets two phosphatase regulators of the Hippo signaling pathway MZ Mui, Y Zhou, P Blanchette, N Chughtai, JF Knight, T Gruosso, ... Journal of virology 89 (17), 8855-8870, 2015 | 15 | 2015 |
| Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets S Marino, Y Zhao, N Zhou, Y Zhou, AW Toga, L Zhao, Y Jian, Y Yang, ... Plos one 15 (8), e0228520, 2020 | 11 | 2020 |
| Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies S Marino, J Xu, Y Zhao, N Zhou, Y Zhou, ID Dinov PLoS One 13 (8), e0202674, 2018 | 11 | 2018 |
| Predictions and role of interventions for COVID-19 outbreak in India D Ray, R Bhattacharyya, L Wang, M Salvatore, S Mohammed, A Halder, ... Johns Hopkins University, University of Michigan, University of Connecticut …, 2020 | 10 | 2020 |
| Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: data science call to arms. Harvard Data Science … D Ray, M Salvatore, R Bhattacharyya, L Wang, J Du, S Mohammed, ... | 8 | |
| A spatiotemporal epidemiological prediction model to inform county-level COVID-19 risk in the United States. Harvard Data Science Review. 2020 Y Zhou, L Wang, L Zhang, L Shi, K Yang, J He, B Zhao, W Overton, ... | 7 | 2020 |
| Metabolomics reveals sex‐specific pathways associated with changes in adiposity and muscle mass in a cohort of Mexican adolescents Y Rodríguez‐Carmona, JL Meijer, Y Zhou, EC Jansen, W Perng, ... Pediatric Obesity 17 (6), e12887, 2022 | 5 | 2022 |
| Deep historical borrowing framework to prospectively and simultaneously synthesize control information in confirmatory clinical trials with multiple endpoints T Zhan, Y Zhou, Z Geng, Y Gu, J Kang, L Wang, X Huang, EH Slate Journal of biopharmaceutical statistics 32 (1), 90-106, 2022 | 4 | 2022 |
| Discussion of" Tracking reproductivity of COVID-19 epidemic in China with varying coefficient SIR model" L Wang, F Wang, Y Zhou, PXK Song Journal of Data Science 18 (3), 477-479, 2020 | 3 | 2020 |
| Factors influencing parents’ choice of palliative treatment goals for children with relapsed or refractory neuroblastoma: A multi‐site longitudinal survey study EC Kaye, J Smith, Y Zhou, R Bagatell, JN Baker, SL Cohn, LR Diller, ... Cancer 130 (7), 1101-1111, 2024 | 1 | 2024 |
| A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning S Giddens, Y Zhou, KR Krull, TM Brinkman, PXK Song, F Liu arXiv preprint arXiv:2307.13127, 2023 | 1 | 2023 |
| Net benefit index: assessing the influence of a biomarker for individualized treatment rules Y Zhou, PXK Song, H Fu Biometrics 77 (4), 1254-1264, 2021 | 1 | 2021 |
| Longitudinal clinical data improve survival prediction after hematopoietic cell transplantation using machine learning Y Zhou, J Smith, D Keerthi, C Li, Y Sun, SS Mothi, DC Shyr, B Spitzer, ... Blood Advances 8 (3), 686-698, 2024 | | 2024 |
| Accelerating pediatric hodgkin lymphoma research: the hodgkin lymphoma data collaboration (NODAL) KD Wyatt, S Birz, SM Castellino, TO Henderson, JT Lucas Jr, Q Pei, ... JNCI: Journal of the National Cancer Institute, djae013, 2024 | | 2024 |
