| Comparison of transmissibility of coronavirus between symptomatic and asymptomatic patients: reanalysis of the Ningbo COVID-19 data G Yin, H Jin JMIR public health and surveillance 6 (2), e19464, 2020 | 49 | 2020 |
| Efficacy of COVID-19 treatments: a Bayesian network meta-analysis of randomized controlled trials C Zhang, H Jin, YF Wen, G Yin Frontiers in Public Health 9, 729559, 2021 | 46 | 2021 |
| Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging F Jiang, H Jin, Y Gao, X Xie, J Cummings, A Raj, S Nagarajan NeuroImage 254, 119131, 2022 | 14 | 2022 |
| Bayesian hierarchical model for change point detection in multivariate sequences H Jin, G Yin, B Yuan, F Jiang Technometrics 64 (2), 177-186, 2022 | 11 | 2022 |
| Unit information prior for adaptive information borrowing from multiple historical datasets H Jin, G Yin Statistics in Medicine 40 (25), 5657-5672, 2021 | 7 | 2021 |
| Statistical issues and lessons learned from COVID-19 clinical trials with lopinavir-ritonavir and remdesivir G Yin, C Zhang, H Jin JMIR Public Health and Surveillance 6 (3), e19538, 2020 | 6 | 2020 |
| CFO: Calibration-free odds design for phase I/II clinical trials H Jin, G Yin Statistical Methods in Medical Research 31 (6), 1051-1066, 2022 | 5 | 2022 |
| Matrix completion with covariate information and informative missingness H Jin, Y Ma, F Jiang Journal of Machine Learning Research 23 (180), 1-62, 2022 | 5 | 2022 |
| Time‐to‐event calibration‐free odds design: a robust efficient design for phase I trials with late‐onset outcomes H Jin, G Yin Pharmaceutical Statistics 22 (5), 773-783, 2023 | 4 | 2023 |
| Dynamic functional connectivity MEG features of Alzheimer's disease H Jin, K Ranasinghe, P Prahu, C Dale, Y Gao, K Kudo, K Vossel, A Raj, ... NeuroImage 281, 120358, 2023 | 3 | 2023 |
| Bayesian inference of a spectral graph model for brain oscillations H Jin, P Verma, F Jiang, SS Nagarajan, A Raj NeuroImage 279, 120278, 2023 | 3 | 2023 |
| Approximate Bayesian computation design for phase I clinical trials H Jin, W Du, G Yin Statistical methods in medical research 31 (12), 2310-2322, 2022 | 2 | 2022 |
| Bayesian enhancement two‐stage design with error control for phase II clinical trials H Jin, G Yin Statistics in Medicine 39 (29), 4452-4465, 2020 | 2 | 2020 |
| A Variable Selection Approach to Multiple Change-Points Detection CK Lam, H Jin, F Jiang, G Yin Statistics and Its Interface 13 (2), 251-260, 2020 | 1 | 2020 |
| High dimensional test for functional covariates H Jin, F Jiang arXiv preprint arXiv:2405.08912, 2024 | | 2024 |
| Bayesian adaptive design for covariate‐adaptive historical control information borrowing H Jin, MO Kim, A Scheffler, F Jiang Statistics in medicine 42 (29), 5338-5352, 2023 | | 2023 |
| Two-dimensional calibration-free odds design for phase I drug-combination trials W Wang, H Jin, YD Zhang, G Yin Frontiers in Oncology 13, 1294258, 2023 | | 2023 |
| Deep Reinforcement Learning for Bandit Arm Localization W Du, H Jin, C Yu, G Yin 2022 IEEE International Conference on Big Data (Big Data), 5243-5252, 2022 | | 2022 |
| Supporting information for “Approximate Bayesian Computation Design for Phase I Clinical Trials” H Jin, W Du, G Yin | | |
Guosheng YinUniversity of Hong Kong在 hku.hk 的电子邮件经过验证
