Integrative Analysis of High-dimensional RCT and RWD Subject to Censoring and Hidden Confounding
删失与隐藏混杂下高维随机试验和真实世界数据的整合分析
In this study, we focus on estimating the heterogeneous treatment effect (HTE) for survival outcome. The outcome is subject to censoring and the number of covariates is high-dimensional. We utilize data from both the randomized controlled trial (RCT), considered as the gold standard, and real-world data (RWD), possibly affected by hidden confounding factors. To achieve a more efficient HTE estimate, such integrative analysis requires great insight into the data generation…