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About Yu (Joyce) Jiang

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. Jiang Y, Zhang H, Chen S, Ewart S, Holloway JW, Arshad H, Karmaus W. Intergenerational association of DNA methylation between parents and offspring. Sci Rep. 2024 Aug 27;14(1):19812.  
2. Abrar MNF, Jiang Y, Zhang H, Li L, Arshad H. Epigenetic Features in Newborns Associated with Preadolescence Lung Function and Asthma Acquisition during Adolescence. Epigenomes. 2024 Mar 22;8(2):12.  
3. Abrar MNF, Zhang H, Jiang Y. Suggested guidelines in reporting results from mediation analysis, standardized or unstandardized? PLoS One. 2024 Sep 18;19(9):e0310429. doi:
4. Ren J, Zhou F, Li X, Ma S, Jiang Y, Wu C. Robust Bayesian variable selection for gene-environment interactions. Biometrics. 2023;79(2):684-694.
5. Wu M, Jiang Y, Ma S. Integration of Proteomics and Other Omics Data. Methods Mol Biol. 2021;2361:307-324.  
6. Jiang Y, Zhang H, Shan V, …, Karmaus W, Estimation of Eosinophil Cells in Cord Blood with References Based on Blood in Adults via Bayesian Measurement Error Modeling, Bioinformatics, 2020, 36(6):1923-1924.
7. Jiang Y, Huang Y, Du Y, Zhao Y, Ren J, Ma S, and Wu C. Identification of prognostic genes and pathways in lung adenocarcinoma using a Bayesian approach. Cancer Informatics. 2017:15 10.1177/1176935116684825.  
8. Jiang Y, Shi X, Zhao Q, Krauthammer M, Rothberg BE, Ma S. Integrated analysis of multidimensional omics data on cutaneous melanoma prognosis. Genomics. 2016; 107 (6):223-30. (The first two authors contributed equally)  
9. Jiang Y, Simon S, Mayo MS, Gajewski BJ, Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors. Stat Med. 2015;34(4):613-29.
10. Jiang Y, Boyle DK, Bott MJ, Wick JA, Yu Q, Gajewski BJ. Expediting clinical and translational research via Bayesian instrument development. Applied Psychological Measurement. 2014, 38(4):296-310.