Cheng Zheng, PhD

• 2014, PhD Biostatistics, University of Washington
• 2012, MS Biostatistics, University of Washington
• 2009, BS Statistics, Peking University

Dr. Zheng's current research focuses on novel statistical methods to improve public health and biomedical research. His methodology works focus on causal inference, measurement error modeling, biomarker evaluation, and risk prediction for complex data structures, such as survival data, longitudinal data, and high dimensional data. For applied research, his current research area includes nutritional epidemiology, environmental health, behavioral sciences, health disparity, and radiation oncology.   

• Niu, F., Zheng, C., Liu, L. (epub ahead) Exploring causal mechanism and quantifying direct and indirect effects using joint modeling approach for recurrent and terminal events. Statistics in Medicine.
• Dai, R. and Zheng, C. (epub ahead) FDR Controlled Multiple Testing for Union Null Hypotheses: A Knockoff-based Approach. Biometrics.
• Zhang, Y., Dai, R., Huang, Y., Prentice, R.L., and Zheng, C. (epub ahead) Using simultaneous regression calibration to study the effect of multiple error-prone exposures on disease risk utilizing biomarkers developed from a controlled feeding study. Annals of Applied Statistics.
• Zheng, C., Liu, L. (2022) Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach. Biometrics 78: 1233-1243.
• Zheng, C., Pettinger, M., Nagana Gowda, G.A., Lampe, J.W., Raftery, D., Tinker, L.F., Huang, Y., Navarro, S.L., O’Brien, D.M., Snetselaar, L., Liu, S., Wallace, R.B., Neuhouser, M.L., Prentice, R.L. (2022) Biomarker-calibrated red and processed meat and chronic disease risk in a cohort of postmenopausal women. Journal of Nutrition 152: 1711-1720.

• American Statistical Association (ASA)
• Eastern North American Region, International Biometric Society (ENAR)
• International Chinese Statistical Association (ICSA)