Chi Hyun Lee

UMass Amherst Assistant Professor of Biostatistics Chi Hyun Lee
Assistant Professor
411 Arnold House
413-545-1934

chihyunlee@umass.edu

Education: 

B.A., Yonsei University, Seoul, South Korea, 2009; M.A., Yonsei University, Seoul, South Korea, 2011; Ph.D., Biostatistics, University of Minnesota, 2015; Postdoctoral Fellow, Biostatistics, The University of Texas MD Anderson Cancer Center (October 2015 - August 2018)

Area(s) of Specialization: 

Complex survival data analysis, biased sampling design, biomarker identification and evaluation

Research Description: 

My research is primarily focused on statistical methodologies for survival outcomes in observational studies. I have developed methods for recurrent event data and length-biased or left-truncated right-censored data in various applications such as multiple infections after bone marrow transplantation, mental health services and intervention, and Alzheimer’s disease, dementia and aging research. My methodology research involves both nonparametric estimation and semiparametric regression methods for complex survival data. For this work, I have proposed methods that properly address the induced dependent censoring and sampling bias issues. I am especially interested in developing statistical models or measures with intuitive interpretation that facilitates communication between statisticians and non-statisticians. I am also interested in combining data from different sampling designs to improve accuracy and efficiency of statistical inference. Recently, I have begun working on identification of biomarkers and network analysis in high-dimensional settings.

Key Publications: 

Lee, C.H., Ning, J., Shen, Y. (2018). Analysis of restricted mean survival time for length-biased data. Biometrics, 74(2):575-583. doi:10.1111/biom.12772.

Lee, C.H., Huang, C.-Y., Xu, G., Luo, X. (2018). Semiparametric regression analysis for alternating recurrent event data. Statistics in Medicine, 37(6):996-1008. doi:10.1002/
sim.7563.

Lee, C.H., Ning, J., Shen, Y. (2018). Model diagnostics for the proportional hazards model with length-biased data. Lifetime Data Analysis. doi:10.1007/s10985-018-9422-y.