Our Research

The major research interest of our group is to develop efficient and robust statistical methods for design and analysis of biomarker studies for the purpose of disease screening, surrogate endpoint identification, and treatment selection in cancer and infectious diseases. Biomarkers are subject characteristics that can help to predict the risk of diseases and/or the effect of treatment. We study how to efficiently select biomarkers among high-dimensional candidates and derive marker-based individualized rules, using data from randomized trials and observational studies.

For open positions in our group, please contact Dr. Ying Huang for details.