Educational Background
Doctor Degree,Statistics,University of Michigan, USA
Master Degree,Statistics,University of Illinois at Urbana-Champaign, USA
Bachelor Degree,Statistics,University of Science and Technology of China
Academic Background
2017.08——2017.12,Visiting Scholar,MIT Sloan School of Management, USA
Journal Papers
| 2. | Juan Shen and Annie Qu. 2020. Subgroup analysis based on structured mixed-effects models for longitudinal data. Journal of Biopharmaceutical Statistics 30(4) 607–622. ![]() |
| 4. | Weihong Huang, Juan Shen, and Yuguo Chen. 2018. The self-multiset sampler. Journal of Computational and Graphical Statistics 27(1) 34-47. |
| 5. | Juan Shen, Yingchuan Wang, and Xuming He. 2017. Penalized likelihood for logistic-normal mixture models with unequal variances. Statistica Sinica 27(2) 711-731. |
| 6. | Xiahai Zhuang,and Juan Shen. 2016. Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI. Medical Image Analysis 31 77-87. |
| 7. | Juan Shen and Xuming He. 2015. Inference for subgroup analysis with a structured logistic-normal mixture model. Journal of the American Statistical Association 110(509) 303-312. |
| 8. | Juan Shen and Xuming He. 2014. Generalized f test and generalized deviance test in two-way ANOVA models for randomized trials. Journal of Biopharmaceutical Statistics 24(3) 523–534. |
Research Projects
2019.01—2022.12, Principal Investigator, Bayeisan Methods for Subgroup Analysis with High Dimensional Data, National Natural Science Foundation of China
2017.12—2018.03, Principal Investigator, Statistical Learning Methods and Algorithms in Intelligent Retailing, FARSIGHT
2016.01—2018.12, Principal Investigator, Subgroup Analysis Based on Structured Logistic Normal Mixture Models, National Natural Science Foundation of China
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