Bio

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

Publications

• Hands-on childcare garden intervention: A randomized controlled trial to assess effects on fruit and vegetable identification, liking, and consumption among children aged 3–5  years in North Carolina , Frontiers in Psychology (2022)
• Research Design, Protocol, and Participant Characteristics of COLEAFS: A Cluster Randomized Controlled Trial of a Childcare Garden Intervention , International Journal of Environmental Research and Public Health (2021)
• Statistical Analysis of Zero-Inflated Nonnegative Continuous Data: A Review , Statistical Science (2019)
• Bivariate Mixed Effects Analysis of Clustered Data with Large Cluster Sizes , Statistics in Biosciences (2016)
• A flexible model for correlated medical costs, with application to medical expenditure panel survey data , Statistics in Medicine (2015)
• Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression , Genetics (2015)
• A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits , Computational Statistics & Data Analysis (2014)
• Pathway-Guided Identification of Gene-Gene Interactions , Annals of Human Genetics (2014)
• A flexible model for the mean and variance functions, with application to medical cost data , Statistics in Medicine (2013)
• Constructing Conditional Reference Charts for Grip Strength Measured with Error , Springer Proceedings in Mathematics & Statistics (2013)

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