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About Yu (Joyce) Jiang, PhD

Dr. Yu (Joyce) Jiang is an Assistant Professor in the Division of Epidemiology, Biostatistics, and Environmental Health. Her general research interests include Bayesian data analysis, clinical trial studies, cancer epidemiology and cancer genomics. As a biostatistician, she has broad interests in collaborating with researchers in biological science, medicine, public health and all other related fields.

Education

• PhD, Biostatistics, University of Kansas Medical Center, Kansas City, KS
• PhD, Human Nutrition, Kansas State University, Manhattan, KS.

Research Interests

• Bayesian methods
• Clinical trials
• Statistical genetics and bioinformatics
• Cancer Epidemiology
• Latent variable modeling

Selected Publications

1. Lutey, M., Siraj, T., Bantom, W. R., III, Hamid Saleh, E. B., Taylor, M. L., Shah, S., Slavney, W. F., Fults, E. C., Tran, J. H. P., Vo, H. T., Wilson, R., Martinez, A. J., Zou, S., Yu, J., Jiang, Y., Zhang, H., Wang, Y., Hoang, T. B., & Huang, X. (2026). Integrin-defined plasma extracellular vesicles for early breast cancer detection and bone metastasis association. ACS Applied Nano Materials, 9(34), 16214–16231.
2. Jiang, Y., Zhang, H., Chen, S., Ewart, S., Holloway, J. W., Arshad, H., & Karmaus, W. (2024). Intergenerational association of DNA methylation between parents and offspring. Scientific Reports, 14(1), Article 19812.
3. Abrar, M. N. F., Jiang, Y., Zhang, H., Li, L., & Arshad, H. (2024). Epigenetic features in newborns associated with preadolescence lung function and asthma acquisition during adolescence. Epigenomes, 8(2), Article 12.
4. Abrar, M. N. F., Zhang, H., & Jiang, Y. (2024). Suggested guidelines in reporting results from mediation analysis, standardized or unstandardized? PLoS ONE, 19(9), Article e0310429.
5. Ren, J., Zhou, F., Li, X., Ma, S., Jiang, Y., & Wu, C. (2023). Robust Bayesian variable selection for gene-environment interactions. Biometrics, 79(2), 684–694.
6. Wu, M., Jiang, Y., & Ma, S. (2021). Integration of proteomics and other omics data. In Methods in Molecular Biology (Vol. 2361, pp. 307–324).
7. Jiang, Y., Zhang, H., Andrews, S. V., et al. (2020). Estimation of eosinophil cells in cord blood with references based on blood in adults via Bayesian measurement error modeling. Bioinformatics, 36(6), 1923–1924.
8. Jiang, Y., Huang, Y., Du, Y., Zhao, Y., Ren, J., Ma, S., & Wu, C. (2017). Identification of prognostic genes and pathways in lung adenocarcinoma using a Bayesian approach. Cancer Informatics, 15.
9. Jiang, Y., Shi, X., Zhao, Q., Krauthammer, M., Rothberg, B. E. R., & Ma, S. (2016). Integrated analysis of multidimensional omics data on cutaneous melanoma prognosis. Genomics, 107(6), 223–230.
10. Jiang, Y., Simon, S., Mayo, M. S., & Gajewski, B. J. (2015). Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors. Statistics in Medicine, 34(4), 613–629.