Title:“Statistical Methods for Precision Medicine”

Speaker: Professor Xiao-Hua Zhou, Peking University

Abstract: In this talk, I will introduce a new semi-parametric modelling method for heterogeneous treatment effect estimation and individualized treatment selection using a covariate-specific treatment effect (CSTE) curve with high-dimensional covariates. The proposed method is quite flexible to depict both local and global associations between the treatment and baseline covariates, and thus is robust against model misspecification in the presence of high-dimensional covariates. We also establish the theoretical properties of our proposed procedure. I will further illustrate the performance of the proposed method by simulation studies and analysis of a real data example. This is a joint work with Drs. Guo and Ma at University of California Riverside.