Wen Ye, Ph.D.
Research Associate Scientist
Office: 734-615-9051; Fax: 734-763-2215
Curriculum Vitae (PDF)
Wen Ye is a Research Associate Scientist in the Department of Biostatistics. Wen joined the University of Michigan after she earned her doctoral degree in Biostatistics at the University of Michigan in 2006. Her research focuses on disease modeling using longitudinal analysis, survival data analysis, joint modeling, and microsimulation models.
Ph.D., Biostatistics, University of Michigan, 2006
MS, Pharmacology, University of Toledo, 1999
BS, Physiology and Biophysics, Peking University, 1997
Research Interests & Projects
- Childhood liver disease
- Disease history of rare diseases
- Longitudinal data analysis
- Multi-state survival data analysis
- Joint modeling of longitudinal and survival data
- Nonparametric regression
- Survival analysis in the presence of interval censoring and dependent censoring
Veiga-Lopez A, Beckett EM, Abi Salloum B, Ye W, Padmanabhan V. (2014). Prenatal BPA exposure disrupts ovarian follicular wave dynamics in adult sheep. Tox Appl Pharm.
Kang J, Ye W, Wang Lu, Padmanabhan V, Veiga-Lopez A, Song XKP (2012). Local Mixed-Effects Fitting for Detecting Reproductive Hormone Surge Times. Statistics in Biosciences 4(2) 245-261 Statistics in Biosciences, 4(2), 245-261.
Quiýones AR, Liang J, Ye W. (2010). Differences in diabetes mellitus onset for older Black, White, and Mexican Americans. Ethnic Disparity, 23(3), 310-5.
Barhak, J., Isaman, D.J.M., Ye, W. (February, 2010). Use of Secondary Data Analysis and Instantaneous States in a Discrete-State Model of Diabetic Heart Disease. Information Fusion, 13(2), 137-145.
Barhak J, Isaman DJM, Ye W, Donghee Lee. (April, 2010). Chronic Disease Modeling and Simulation Software Journal of Biomedical Informatics, 43 (5), 791-799.
Ye, W., Lin, X., Taylor, J. M.G. (2007). A Penalized Likelihood Approach to Joint Modeling of Lingitudinal and Time-to-event Data Statistics and Its Interface, 1, 33-45.
Ye, W., Lin, X., Taylor, J. M.G. (2008). Semiparametric Modeling of Longitudinal and Time-to-event Data: A two-stage approach. Biometrics, 64(4), 1238-1246.
DeRusso PA, Ye W, Shepherd RW, Haber BA, Shneider BL, Whitington PF, Schwarz KB, Bezerra JA, Rosenthal P, Karpen S, Squires RH, Magee JC, Robuck PR, Sokol, RJ for the Biliary Atresia Research Consortium. (2007). Growth Failure and Outcomes in Infants with Biliary Atresia: A Report from the Biliary Atresia Research Consortium. Hepatology, 46(5), 1632-1638.