Dr. Zhang received both BS and MS in Computational Mathematics from Fudan University in China, MS in Applied Mathematics from Florida State University and Ph.D in Statistics from University of Washington. Right after receiving his Ph.D in 1998, he took a tenure-track assistant professor position in the Department of Statistics at the University of Central Florida. In 2004, he moved to University of Iowa, Department of Biostatistics, to take an associate professor position and was promoted to full professor in 2010. He joined the IU Fairbanks School of Public Health as a tenured full professor in charge of Biostatistics education since January 2014.

Research Interests

Dr. Zhang has broad interest in Biostatistics methodology research including non/semi-parametric inference, panel count and interval-censored data analysis, joint modeling of survival and longitudinal data, statistical computing and health data mining, clinical trial design and health comparative effectiveness research. He has been also actively engaged in various scientific research in the following areas: cancer research, disease progression modeling, neurodegenerative disease, sports medicine, and health care service research.

Courses Taught

Dr. Zhang has taught 18 different statistics/biostatistics courses raging from introductory statistics courses for undergraduate students to high level Ph.D courses for statistics/biostatistics students. He has advised or co-advised 11 Ph.D students in Biostatistics, Statistics and Applied Mathematics since 2005. Currently, he is regularly teaching the following four courses:

  • PBHL-B571: Biostatistics Method I-Linear Model for Public Health
  • PBHL-B572: Biostatistics Method II-Categorical Data Analysis
  • PBHL-B626: Advanced Likelihood Theory
  • PBHL-B636: Advanced Survival Data Analysis

Current Projects

Besides various independent biostatistics methodology research projects, Dr. Zhang has been engaged in the following funded projects:

  • IU Melvin and Bren Simon Cancer Center Support Grant (NIH-NCI)
  • PRIS-M: Precision Monitoring to Transform Care (VA HSR&D)
  • PREDICT HD: Neurobiological Predictors of Huntington's Disease (NIH)
  • Virtual Perspective-Taking to Reduce Race and SES Disparities in Pain Care (NIH)
  • Improving population and clinical health with integrated services (Robert Wood Johnson Foundation)

Selected Publications

  1. Wu Y. and Zhang Y. (2012) Partially Monotone Tensor Spline Estimation of the Joint Distribution Function with Bivariate Current Status Data. Annals of Statistics. 40: 1609-1636.
  2. Lu M., Zhang Y., and Huang J. (2009) Semiparametric estimation methods for panel count data using monotone B-splines. Journal of the American Statistical Association. 104:1060-1070.
  3. Lu M., Zhang Y., and Huang J. (2007) Estimation of the mean function with panel count data using monotone polynomial splines. Biometrika, 94:705-718.
  4. Wellner JA. and Zhang Y. (2007) Two likelihood-based semi parametric estimation methods for panel count data with covariates. Annals of Statistics, 35:2106-2142.
  5. Huang, C-Y, Wang, M-C, and Zhang Y. (2006) Analyzing panel count data with informative observation times. Biometrika, 93:763-775.
  6. Zhang Y. (2006) Nonparametric K-sample tests with panel count data. Biometrika, 93:777-790.
  7. Liu W, Jamshidian M, Zhang Y. (2004) Multiple comparison of several linear regression models. Journal of the American Statistical Association ,99:395-403.
  8. Zhang Y. (2002) A semiparametric pseudolikelihood estimation method for panel count data. Biometrika, 89:39-48.
  9. Zhang Y, Liu W, Zhan Y. (2001) A nonparametric two-sample test of the failure functions with interval censoring Case 2. Biometrika, 38:677-686.
  10. Wellner JA and Zhang Y. (2000) Two estimators of the mean of a counting process with panel count data. Annals of Statistics, 28:779-814.