Jiyang Wen
PhD candidate, Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
615 N. Wolfe Street, Room E3033, Baltimore, Maryland 21205
Email: jwen22@jhu.edu
Phone: 410-502-3363
Jiyang Wen
PhD candidate, Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
615 N. Wolfe Street, Room E3033, Baltimore, Maryland 21205
Email: jwen22@jhu.edu
Phone: 410-502-3363
My name is Jiyang Wen. I am currently a fifth year PhD student at the Department of Biostatistics, Johns Hopkins University. I am co-advised by Prof. Mei-Cheng Wang and Prof. Chen Hu.
I received my bachelor degree from the University of Science and Technology of China (USTC) in July 2018, majoring in mathematics and applied mathematics. During my junior year at college, I went to the University of Michigan and worked on a research project with Dr. Gongjun Xu.
Ph.D. in Biostatistics, Johns Hopkins University, 2023
B.S. in Mathematics and Applied Mathematics, University of Science and Technology of China, 2018
Visiting Student, University of Michigan, Ann Arbor, 2017
Visiting Student, University of British Columbia, 2016
ENAR Distinguished Student Paper Award, 2023
ASA Risk Analysis Section Student Paper Award, 2022
Society for Clinical Trials (SCT) Thomas Chalmers Student Scholarship Finalist , 2022
Louis I. and Thomas D. Dublin Award for the Advancement of Epidemiology and Biostatistics, Johns Hopkins University, 2022
National Scholarship, Chinese Ministry of Education, 2016
Survival analysis, Competing risks, Recurrent event data analysis
Longitudinal data analysis, Semiparametric inference
High-dimensional statistics
Wongvibulsin, S., Garibaldi, B. T., Antar, A., Wen, J., Wang, M-C., Gupta, A., Bollinger, R., Xu, Y., Wang, K., Betz, J. F., Muschelli, J., Bandeen-Roche, K., Zeger, S. L., & Robinson, M. L. (2021). Development of Severe COVID-19 Adaptive Risk Predictor (SCARP), a Calculator to Predict Severe Disease or Death in Hospitalized Patients With COVID-19. Annals of Internal Medicine, 174(6), 777-785.
He, Y., Jiang T., Wen, J. and Xu, G. (2021). Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension. Statistica Sinica, 31(3), 1215-1238.
Pulsifer, M. B., Evans, C. L., Hom, C., Krinsky-McHale, S. J., Silverman, W., Lai, F., Lott, I., Schupf, N., Wen, J., & Rosas, H. D. (2020). Language skills as a predictor of cognitive decline in adults with Down syndrome. Alzheimer's & Dementia (Amsterdam, Netherlands), 12(1), e12080. https://doi.org/10.1002/dad2.12080. (recognised as most cited paper during 2021-2022)
Wen, J., Hu, C. and Wang, M. C. (2022). Joint inference for competing risks data using multiple endpoints. Biometrics, 10.1111/biom.13752. Advance online publication. https://doi.org/10.1111/biom.13752.
Wen, J., Wang, M-C. and Hu, C. (2023). Simultaneous hypothesis testing for multiple competing risks in comparative clinical trials. Statistics in Medicine, doi: 10.1002/sim.9728.
Simultaneous hypothesis testing for multiple competing risks in comparative clinical trials. Contributed session, ENAR Spring Meeting, Nashville TN, March 2023.
Joint inference of competing risks data using multiple endpoints. Topic contributed session, Section on Risk Analysis, Joint Statistical Meetings (JSM), Washington DC, August 2022.
Simultaneous hypothesis testing for multiple competing risks in comparative clinical trials. Invited session, Annual Meeting of the Society for Clinical Trials, San Diego CA, May 2022.
Competing Risks Data: Models, Methods & Data Applications. Invited talk, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, May 2022.
@USTC
Complex Analysis, Spring 2017
@Johns Hopkins
Advanced Methods in Biostatistics I & II (PhD level course), Fall 2019
Statistical Methods in Public Health II, III & IV, Spring 2020, Fall 2020, Spring 2022
Survival Analysis, Fall 2020, Fall 2021, Fall 2022
Advanced Survival Analysis, Fall 2021, Fall 2022
Statistical Machine Learning, Spring 2021, Spring 2022, Spring 2023