Toward Causally Interpretable Meta-analysis Transporting Inferences from Multiple Randomized Trials to a New Target Population
We take steps toward causally interpretable meta-analysis by describing methods for transporting causal inferences from a collection of randomized trials to a new target population, one trial at a time and pooling all trials. We discuss identifiability conditions for average treatment effects in the target population and provide identification results. We show that the assumptions that allow infer
