Dr. Qixuan Chen has primary research interest in the analysis of complex survey data and data with missing values. Her research on survey sampling focuses on Bayesian model-based methods that include sample weights as covariates in the model. Her research on missing data focuses on multiple imputation and survey nonresponse. Dr. Chen is also interested in the novel application of Bayesian models and latent class methods in the population health research. In collaborative research, she has been serving as lead statistician and co-Investigator on multiple NIH, CDC and foundation grants, with the applications to environmental health sciences, psychiatry and mental health, substance abuse, and child health. She holds a PhD in Biostatistics and a certificate in survey sampling from the University of Michigan.
