Assistant Professor
In this data-rich world, with the increasing ability to acquire data from diverse sources, my work as a biostatistician motivates me to develop statistical methods for real-world challenges. I am excited to contribute to the shared goal of advancing public health.”
Contact
380G Cunz Hall
1841 Neil Ave.
Columbus, OH, 43210
Email: zhang.15684@osu.edu
View CV
Dr. Zhang's research primarily focuses on two areas: developing statistical methods for environmental epidemiological studies, particularly in assessing health effects of environmental exposures; and disease surveillance, with a specific focus on capture-recapture methods. She is also interested in mediation analysis with applications to metabolomics data.
Statistical methodology, Environmental epidemiology, capture-recapture methods for disease surveillance, Bayesian methods, spatial-temporal modeling. Applications: infectious disease, Alzheimer’s disease, pre-term birth
- Ph.D., Biostatistics, Emory University, 2023
- MSPH, Biostatistics, Emory University, 2018
- B.E., Biopharmaceutical Technology, China Pharmaceutical University, 2016
Zhang, Y., Ge, L., Waller, L. A., Shah, S., & Lyles, R. H. A capture-recapture modeling framework emphasizing expert opinion in disease surveillance. Statistical Methods in Medical Research. 2024;0(0). https://doi.org/10.1177/09622802241254217
Zhang, Y., Chang, H. H., Warren, J. L., & Ebelt, S. T. (2024). A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures. Biometrics, 80(1), ujae008. https://doi.org/10.1093/biomtc/ujae008
Zhang, Y., Ge, L., Waller, L. A., & Lyles, R. H. (2023). On some pitfalls of the log-linear modeling framework for capture-recapture studies in disease surveillance. Epidemiologic Methods, 12(s1), 20230019. https://doi.org/10.1515/em-2023-0019
Zhang, Y., Chen, J., Ge, L., Williamson, J. M., Waller, L. A., & Lyles, R. H. (2023). Sensitivity and uncertainty analysis for two-stream capture–recapture methods in disease surveillance. Epidemiology, 34(4), 601-610. https://doi.org/10.1097/EDE.0000000000001614
Zhang, Y., Chang, H. H., Cheng, Q., Collender, P. A., Li, T., He, J., & Remais, J. V. (2023). A hierarchical model for analyzing multisite individual-level disease surveillance data from multiple systems. Biometrics, 79(2), 1507-1519. https://doi.org/10.1111/biom.13647
Zhang, Y., Ebelt, S. T., Shi, L., Scovronick, N. C., D'Souza, R. R., Steenland, K., & Chang, H. H. (2023). Short-term associations between warm-season ambient temperature and emergency department visits for Alzheimer's disease and related dementia in five US states. Environmental research, 220, 115176. https://doi.org/10.1016/j.envres.2022.115176
Zhang, Y., Chang, H. H., Iuliano, A. D., & Reed, C. (2022). Application of Bayesian spatial-temporal models for estimating unrecognized COVID-19 deaths in the United States. Spatial statistics, 50, 100584. https://doi.org/10.1016/j.spasta.2021.100584
