164 citations · 192 across the 16 of their papers we have counts for
5 papers · 1 filter
Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population
Issa J. Dahabreh, Sarah E. Robertson, Lucia C. Petito +2
We present methods for causally interpretable meta-analyses that combine information from multiple randomized trials to estimate potential (counterfactual) outcome means and averag…
Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population
Issa J. Dahabreh, James M. Robins, Sebastien J-P. A. Haneuse +4
Extending (generalizing or transporting) causal inferences from a randomized trial to a target population requires ``generalizability'' or ``transportability'' assumptions, which s…
Study designs for extending causal inferences from a randomized trial to a target population
Issa J. Dahabreh, Sebastien J-P. A. Haneuse, James M. Robins +4
We examine study designs for extending (generalizing or transporting) causal inferences from a randomized trial to a target population. Specifically, we consider nested trial desig…
Generalizing trial findings using nested trial designs with sub-sampling of non-randomized individuals
Issa J. Dahabreh, Miguel A. Hernan, Sarah E. Robertson +2
To generalize inferences from a randomized trial to the target population of all trial-eligible individuals, investigators can use nested trial designs, where the randomized indivi…
Towards causally interpretable meta-analysis: transporting inferences from multiple studies to a target population
Issa J. Dahabreh, Lucia C. Petito, Sarah E. Robertson +2
We take steps towards causally interpretable meta-analysis by describing methods for transporting causal inferences from a collection of randomized trials to a new target populatio…