Jin, Huaqing

Jin, Huaqing

Postdoc in UCSF

Publications

Publications

^: Co-first

*: Corresponding author

  1. Jin, H., Kim, M., Scheffler, A., Jiang, F.* (2023) Bayesian adaptive design for covariate-adaptive historical control information borrowing, Statistics in Medicine. [Code][Supp]

  2. Jin, H., Ranasinghe, K., …, Raj, A., Nagarajan, S.*, Jiang, F.*(2023) Dynamic functional connectivity MEG features of Alzheimer’s disease, Neuroimage. [Code]

  3. Jin, H.^, Verma, P.^, Jiang, F., Nagarajan, S.*, Raj, A.* (2023) Bayesian inference of a spectral graph model for brain oscillations, NeuroImage. [Code][Link]

  4. Jin. H., Yin, G.* (2023) Time-to-Event Calibration-Free Odds Design: A Robust Efficient Design for Phase I Trials with Late-onset Outcomes, Pharmaceutical Statistics. [Supp]

  5. Jin, H., Du, W., Yin, G.* (2022) Approximate Bayesian Computation Design for Phase I Clinical Trials, Statistical Methods in Medical Research. [Supp]

  6. Jin, H., Ma, Y., Jiang, F.* (2022) Matrix Completion with Covariate Information and Informative Missingness, Journal of Machine Learning Research.

  7. Jiang, F.*, Jin, H.^, Gao, Y., Xie, X., Cummings, J., Raj, A.*, Nagarajan, S.* (2022) Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging, NeuroImage. [Code]

  8. Jin, H. and Yin, G.* (2022) CFO: Calibration-Free Odds Design for Phase I/II Clinical Trials, Statistical Methods in Medical Research. [Supp] [Code]

  9. Zhang, C., Jin, H., Wen, Y. and Yin, G.* (2021). Efficacy of COVID-19 Treatments: A Bayesian Network Meta-Analysis of Randomized Controlled Trials, Frontiers in Public Health.

  10. Jin, H. and Yin, G.* (2021) Unit Information Prior for Adaptive Information Borrowing from Multiple Historical Datasets, Statistics in Medicine.

  11. Jin, H., Yin, G., Yuan, B., & Jiang, F.* (2021). Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences, Technometrics.

  12. Jin, H. and Yin, G.* (2020). Bayesian enhancement two-stage design with error control for phase II clinical trials, Statistics in Medicine. [Code]

  13. Yin, G.*, Zhang, C. and Jin, H. (2020). Statistical issues and lessons learned from COVID19 clinical trials with lopinavir-ritonavir and remdesivir, JMIR Public Health and Surveillance.

  14. Yin, G.* and Jin, H. (2020). Comparison of transmissibility of coronavirus between symptomatic and asymptomatic patients: Reanalysis of the Ningbo COVID-19 data, JMIR Public Health and Surveillance.

  15. Lam, C. K., Jin, H., Jiang, F. and Yin, G.* (2020). A variable selection approach to multiple change-points detection, Statistics and Its Interface