| Head-to-head comparison between MEFIB, MAST, and FAST for detecting stage 2 fibrosis or higher among patients with NAFLD BK Kim, N Tamaki, K Imajo, M Yoneda, N Sutter, J Jung, T Lin, XM Tu, ... Journal of hepatology 77 (6), 1482-1490, 2022 | 66 | 2022 |
| Extending the Mann‐Whitney‐Wilcoxon rank sum test to survey data for comparing mean ranks T Lin, T Chen, J Liu, XM Tu Statistics in Medicine 40 (7), 1705-1717, 2021 | 48 | 2021 |
| Methamphetamine‐associated heart failure hospitalizations across the United States: geographic and social disparities SD Dickson, IC Thomas, HS Bhatia, M Nishimura, E Mahmud, XM Tu, ... Journal of the American Heart Association 10 (16), e018370, 2021 | 30 | 2021 |
| Tests for paired count outcomes JA Proudfoot, T Lin, B Wang, XM Tu General psychiatry 31 (1), 2018 | 25 | 2018 |
| Isoflurane impacts murine melanoma growth in a sex-specific, immune-dependent manner: a brief report A Meier, ETE Gross, JM Schilling, R Seelige, Y Jung, E Santosa, ... Anesthesia & Analgesia 126 (6), 1910-1913, 2018 | 16 | 2018 |
| The implementation and outcomes of a nurse-run extracorporeal membrane oxygenation program, a retrospective single-center study M Odish, C Yi, C Tainter, S Najmaii, J Ovando, L Chechel, J Lipinski, ... Critical Care Explorations 3 (6), e0449, 2021 | 14 | 2021 |
| A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data J Liu, X Zhang, T Chen, T Wu, T Lin, L Jiang, S Lang, L Liu, L Natarajan, ... Biometrics 78 (3), 950-962, 2022 | 12 | 2022 |
| Advanced machine learning methods in psychiatry: an introduction TC Wu, Z Zhou, H Wang, B Wang, T Lin, C Feng, XM Tu General psychiatry 33 (2), 2020 | 7 | 2020 |
| Magnetoencephalogram-based brain–computer interface for hand-gesture decoding using deep learning Y Bu, DL Harrington, RR Lee, Q Shen, A Angeles-Quinto, Z Ji, H Hansen, ... Cerebral Cortex 33 (14), 8942-8955, 2023 | 6 | 2023 |
| Guidance for use of weights: an analysis of different types of weights and their implications when using SAS PROCs S Richardson, T Lin, Y Li, X Niu, M Xu, V Stander, XM Tu General Psychiatry 32 (1), 2019 | 5 | 2019 |
| Methamphetamine-associated heart failure hospitalizations across the United States: geographic and social disparities. J Am Heart Assoc. 2021; 10 (16): e018370 SD Dickson, IC Thomas, HS Bhatia, M Nishimura, E Mahmud, XM Tu, ... | 5 | |
| Urinary glyphosate, 2, 4-D and DEET biomarkers in relation to neurobehavioral performance in Ecuadorian adolescents in the ESPINA cohort BNC Chronister, K Yang, AR Yang, T Lin, XM Tu, D Lopez-Paredes, ... Environmental health perspectives 131 (10), 107007, 2023 | 4 | 2023 |
| On semiparametric efficiency of an emerging class of regression models for between-subject attributes J Liu, T Lin, T Chen, X Zhang, XM Tu arXiv preprint arXiv:2205.08036, 2022 | 3 | 2022 |
| On modelling relative risks for longitudinal binomial responses: implications from two dueling paradigms T Lin, R Zhao, S Tu, H Wu, H Zhang, XM Tu General Psychiatry 36 (2), 2023 | 1 | 2023 |
| Estimating Viral Genetic Linkage Rates in the Presence of Missing Data T Vu, T Lin, J Zou, V Novitsky, X Tu, V De Gruttola arXiv preprint arXiv:2203.12779, 2022 | 1 | 2022 |
| A new paradigm for high‐dimensional data: Distance‐based semiparametric feature aggregation framework via between‐subject attributes J Liu, X Zhang, T Lin, R Chen, Y Zhong, T Chen, T Wu, C Liu, A Huang, ... Scandinavian Journal of Statistics 51 (2), 672-696, 2024 | | 2024 |
| A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies R Chen, T Lin, L Liu, J Liu, R Chen, J Zou, C Liu, L Natarajan, W Tang, ... Journal of Applied Statistics, 1-25, 2024 | | 2024 |
| On Frequency and Probability Weights: An In‐Depth Look at Duelling Weights T Lin, R Chen, J Liu, T Wu, TT Gui, Y Li, X Huang, K Yang, G Chen, ... International Statistical Review, 2024 | | 2024 |
| A Riemann manifold model framework for longitudinal changes in physical activity patterns J Zou, T Lin, C Di, J Bellettiere, MM Jankowska, SJ Hartman, DD Sears, ... The annals of applied statistics 17 (4), 3216, 2023 | | 2023 |
| Optimizing campus-wide COVID-19 test notifications with interpretable wastewater time-series features using machine learning models T Lin, S Karthikeyan, A Satterlund, R Schooley, R Knight, V De Gruttola, ... Scientific Reports 13 (1), 20670, 2023 | | 2023 |
