Postdoctoral Associate
Project Title: New while-alive regression models for analyzing composite survival endpoints.
Dr. Fang is a postdoctoral associate at the Yale School of Public Health, Biostatistics Department, within the Center for Methods in Implementation and Prevention Science. Her research interests encompass survival analysis and composite endpoint analysis in clinical trials. As a CERSI Scholar, her project focuses on developing a while-alive regression method for composite endpoints using spline techniques. This approach enables the estimation of dynamic effects and is applied to clinical trial data.