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.
