Research: survival analysis, joint modeling of survival and longitudinal data, measurement error models, missing data, medical diagnostic testing, regularization and variable selection methods, treatment selection based on biomarkers
Teaching: survival analysis, longitudinal data analysis, clinical trial, research data management and computing, intermediate mathematical statistics, introductory biostatistics
Dr. Song’s research interest has been focus on development of statistical methods to deal with covariate measurement error and missing data, and to identify biomarkers for prognosis, diagnosis and treatment selection.