My research focuses on statistical methods for epidemiological studies, which investigate factors influencing the health and illness of populations. These studies form the foundation and rationale for interventions aimed at public health and preventive medicine. Specifically, my research aims to develop innovative statistical techniques to address measurement errors in the primary variables of interest and to manage subjects with partially missing information. The developed statistical methods utilize parametric, semiparametric, and nonparametric approaches to enable flexible and robust modeling.
Keywords: Censored data models, Computational statistics, Dimension reduction methods, Genomics, Regression with missing data measurement errors