164 citations · 180 across the 5 of their papers we have counts for
6 papers
Constructing external comparator groups via transportability in mean or in effect measure
Lawson Ung, Guanbo Wang, Sebastien Haneuse +3
Learning about causal effects in target populations and their subsets may be facilitated by combining information from multiple sources. One major class of study designs that combi…
The role of assignment in defining and identifying causal effects in randomized trials
Issa J. Dahabreh, Lawson Ung, Miguel A. Hernán +1
In randomized trials, the per-protocol effect, that is, the effect of being assigned a treatment strategy and receiving treatment according to the assigned strategy, is sometimes t…
Generalizing and transporting inferences about the effects of treatment assignment subject to non-adherence
Issa J. Dahabreh, Sarah E. Robertson, Miguel A. Hernán
We discuss the identifiability of causal estimands for generalizability and transportability analyses, both under perfect and imperfect adherence to treatment assignment. We consid…
Global sensitivity analysis for studies extending inferences from a randomized trial to a target population
Issa J. Dahabreh, James M. Robins, Sebastien J-P. A. Haneuse +3
When individuals participating in a randomized trial differ with respect to the distribution of effect modifiers compared compared with the target population where the trial result…
Randomized trials and their observational emulations: a framework for benchmarking and joint analysis
Issa J. Dahabreh, Jon A. Steingrimsson, James M. Robins +1
A randomized trial and an analysis of observational data designed to emulate the trial sample observations separately, but have the same eligibility criteria, collect information o…
Generalizing causal inferences from individuals in randomized trials to all trial-eligible individuals
Issa Dahabreh, Sarah Robertson, Eric Tchetgen Tchetgen +2
We consider methods for causal inference in randomized trials nested within cohorts of trial-eligible individuals, including those who are not randomized. We show how baseline cova…