Yimei Li, PhD

Associate Professor of Biostatistics

Dr. Li’s methodology research interests include clinical trial design, survival analysis, longitudinal data analysis, and statistical methods for health services research. Her earlier research focused on survival analysis, specifically statistical methodology for multivariate time-to-event data with alternating states and a possibility of cure. Recently, she has focused her research on statistical designs and analyses for early phase cancer clinical trials, such as Bayesian adaptive designs for dose-finding trials and platform/basket trials. Her collaborative research focuses on pediatric oncology, including basic and translational research to understand tumor biology, clinical trials to evaluate experimental cancer therapies, epidemiological studies using real world data (RWD) such as administrative database and electronic health records (EHR), and behavioral and psycho-social studies that aim to help oncology patients/families cope and adjust to their medical experience. She has extensive experience in design, conduct and analysis of various cancer studies, and have published over 135 articles in the literatures of statistical methodology, cancer research, and other areas of medicine. She is also on the editorial board of JNCI (Journal of National Cancer Institute).