Qixuan Chen, PhD

  • Associate Professor of Biostatistics
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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.


Academic Appointments

  • Associate Professor of Biostatistics

Credentials & Experience

Education & Training

  • BA, 2002 Nankai University
  • MS, 2004 Bowling Green State University
  • PhD, 2009 University of Michigan

Committees, Societies, Councils

Member, American Statistical Association

Member, International Biometrics Society, ENAR

Member, International Chinese Statistical Association

Member, American Public Health Association

Editorial Boards

Associate Editor, Journal of the Royal Statistical Society: Series C

Honors & Awards

NIEHS Center Career Development Award, Columbia University, 2016

Calderone Research Prize for Junior Faculty, Columbia University Mailman School of Public Health, 2010

The Department of Biostatistics Teaching Award, Columbia University Mailman School of Public Health, 2010

Edward C. Bryant Scholarship, American Statistical Association, 2009

Otto Hutzinger Award, 27th International Symposium on Halogenated Persistent Organic Pollutants, Tokyo, Japan, 2007


Research Interests

  • Biostatistical Methods
  • Community Health
  • Environmental Health
  • Mental Health
  • Substance Use

Selected Publications

Chen, Q., Elliott, M. R., Haziza, D., Yang, Y., Ghosh, M., Little, R. J. A., Sedransk, J., and Thompson, M. (2017). “Approaches to improving survey-weighted estimates,” Statistical Science, 32(2): 227-248.

Chen, Q., Paik, M. C., Kim, M., andWang, C. (2016). ""Using link-preserving imputation for logistic partially linear models with missing covariates"", Computational Statistics and Data Analysis, 101, 174-185.

Chen, Q., Gelman, A., Tracy, M., Norris, F., and Galea, S. (2015). ""Incorporating the sampling design in weighting adjustments for panel attrition"", Statistics in Medicine, 34 (28): 3637-3647.

Chen, Q., Galfalvy, H., and Duan, N. (2013). ""Effects of disease misclassification on exposure-disease association,"" American Journal of Public Health, 103, e67-e73.

Chen, Q. and Wang, S. (2013). ""Variable selection for multiply-imputed data with application to dioxin exposure study,"" Statistics in Medicine, 32, 3646-59.

Chen, Q., Just, A.C., Miller, R.L., Perzanowski, M.S., Goldstein, I.F., Perera, F.P., Whyatt, R.M. (2012). ""Using latent class growth analysis to identify childhood wheeze phenotypes in an urban birth cohort,"" Annals of Allergy, Asthma & Immunology, 108, 311-315.e1.

Chen, Q., Elliott, M.R., and Little, R.J.A. (2012). ""Bayesian inference of finite population quantiles from unequal probability samples,"" Survey Methodology, 38, 203-214.

Chen, Q., Garabrant, D., Hedgeman, E., Little, R.J.A., Elliott, M.R., Gillespie, B., Hong, B., Lee, S., Lepkowski, J., Franzblau, A., Adriaens, P., Demond, A., and Patterson, D. (2010). ""Estimation of background serum 2,3,7,8-TCDD concentrations by using quantile regression in the UMDES and NHANES populations,"" Epidemiology, 21, S51-S57.

Chen, Q., Elliott, M.R., and Little, R.J.A. (2010). ""Bayesian penalized spline model-based inference for finite population proportion in unequal probability sampling,"" Survey Methodology, 36, 23-34.