Daowen Zhang


Daowen Zhang received his Ph.D. in Biostatistics from the University of Michigan in 1997. He was a senior research associate in the Department of Epidemiology at the University of Michigan from 1996 to 1998. Zhang then joined the teaching and research in the Department of Statistics at North Carolina State University in 1998.


Research Interests:

  • Clinical Trials
  • Correlated Categorical Data
  • Epidemiology
  • Estimating Equations
  • Genetics
  • Longitudinal Data
  • Missing Data
  • Mixed Effects Models
  • Semiparametric and Nonparametric Regressions.


Area(s) of Expertise

  • Biostatistics
  • Mixed Models




Research Design, Protocol, and Participant Characteristics of COLEAFS: A Cluster Randomized Controlled Trial of a Childcare Garden Intervention
Cosco, N. G., Wells, N. M., Monsur, M., Goodell, L. S., Zhang, D., Xu, T., … Moore, R. C. (2021), INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, ["18"](24), [""]. https://doi.org/10.3390/ijerph182413066
Statistical Analysis of Zero-Inflated Nonnegative Continuous Data: A Review
Liu, L., Shih, Y.-C. T., Strawderman, R. L., Zhang, D., Johnson, B. A., & Chai, H. (2019). [Review of , ]. STATISTICAL SCIENCE, 34(2), 253–279. https://doi.org/10.1214/18-STS681
A flexible model for correlated medical costs, with application to medical expenditure panel survey data
Chen, J. S., Liu, L., Shih, Y. C. T., Zhang, D. W., & Severini, T. A. (2016), Statistics in Medicine, 35(6), 883–894. https://doi.org/10.1002/sim.6743
Bivariate mixed effects analysis of clustered data with large cluster sizes
Zhang, D. W., Sun, J. L., & Pieper, K. (2016), Statistics in Biosciences, 8(2), 220–233. https://doi.org/10.1007/s12561-015-9140-x
A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits
Bernhardt, P. W., Zhang, D. W., & Wang, H. J. (2015), Computational Statistics & Data Analysis, 85, 37–53. https://doi.org/10.1016/j.csda.2014.11.011
Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression
Zhao, G. L., Marceau, R., Zhang, D. W., & Tzeng, J. Y. (2015), Genetics, 199(3), 695-.
Statistical Methods for Generalized Linear Models with Covariates Subject to Detection Limits
Bernhardt, P. W., Wang, H. J., & Zhang, D. (2015), Statistics in Biosciences, 7(1), 68–89. https://doi.org/10.1007/S12561-013-9099-4
Flexible modeling of survival data with covariates subject to detection limits via multiple imputation
Bernhardt, P. W., Wang, H. J., & Zhang, D. W. (2014), Computational Statistics & Data Analysis, 69, 81–91. https://doi.org/10.1016/j.csda.2013.07.027
Pathway-guided identification of gene-gene interactions
Wang, X., Zhang, D. W., & Tzeng, J. Y. (2014), Annals of Human Genetics, 78(6), 478–491. https://doi.org/10.1111/ahg.12080
A flexible model for the mean and variance functions, with application to medical cost data
Chen, J. S., Liu, L., Zhang, D. W., & Shih, Y. C. T. (2013), Statistics in Medicine, 32(24), 4306–4318. https://doi.org/10.1002/sim.5838

View all publications via NC State Libraries

Daowen Zhang