Constructing Confidence Intervals for Average Treatment Effects from
Multiple Datasets
Constructing Confidence Intervals for Average Treatment Effects from
Multiple Datasets
Constructing confidence intervals (CIs) for the average treatment effect (ATE) from patient records is crucial to assess the effectiveness and safety of drugs. However, patient records typically come from different hospitals, thus raising the question of how multiple observational datasets can be effectively combined for this purpose. In our paper, …