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Biostatistics (Oxford, England)|September 20, 2022
Multilayer Exponential Family Factor models for integrative analysis and learning disease progressionQinxia Wang, Yuanjia WangFrontiers in Public Health|July 29, 2020
Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation StrategiesQinxia Wang, Shanghong Xie, Yuanjia Wang, et al.Statistics in Medicine|August 7, 2025
A Bayesian Mixture of Exponential Family Factor Models for Uncovering Disease Progression SubtypesKai Kang, Qinxia Wang, Zhanpeng Xu, et al.Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation StrategiesQinxia Wang, Shanghong Xie, Yuanjia Wang, et al.Biometrics|August 25, 2022
A latent state space model for estimating brain dynamics from electroencephalogram (EEG) dataQinxia Wang, Ji Meng Loh, Xiaofu He, et al.Advances in Neural Information Processing Systems|August 24, 2022
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission modelYuan Chen, Wenbo Fei, Qinxia Wang, et al.Arxiv|July 27, 2021
Evaluating Effectiveness of Public Health Intervention Strategies for Mitigating COVID-19 PandemicShanghong Xie, Wenbo Wang, Qinxia Wang, et al.Statistics in Medicine|June 6, 2022
Evaluating effectiveness of public health intervention strategies for mitigating COVID-19 pandemicShanghong Xie, Wenbo Wang, Qinxia Wang, et al.Biometrics|November 6, 2024
A hierarchical random effects state-space model for modeling brain activities from electroencephalogram dataXingche Guo, Bin Yang, Ji Meng Loh, et al.Statistics in Medicine|May 3, 2024
Learning optimal biomarker-guided treatment policy for chronic disordersBin Yang, Xingche Guo, Ji Meng Loh, et al.Pageof 19