FedECA: Federated External Control Arms for Causal Inference with Time-To-Event Data in Distributed Settings
FedECA:分布式生存数据因果推断的联邦外部对照组
External control arms can inform early clinical development of experimental drugs and provide efficacy evidence for regulatory approval. However, accessing sufficient real-world or historical clinical trials data is challenging. Indeed, regulations protecting patients' rights by strictly controlling data processing make pooling data from multiple sources in a central server often difficult. To address these limitations, we develop a method that leverages federated learning…