Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials
篮式试验中处理效应估计的多任务对抗学习
Estimating treatment effects from observational data provides insights about causality guiding many real-world applications such as different clinical study designs, which are the formulations of trials, experiments, and observational studies in medical, clinical, and other types of research. In this paper, we describe causal inference for application in a novel clinical design called basket trial that tests how well a new drug works in patients who have different types of…