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20172026
most citedGeneralizing causal inferences from individuals in randomized trials to all trial-eligible individuals

164 citations · 192 across the 16 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

stat.ME2022★ 10 cited

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…

stat.ME2022

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…

stat.ME2022

Cluster randomized trials designed to support generalizable inferences

Sarah E. Robertson, Jon A. Steingrimsson, Issa J. Dahabreh

Background: When planning a cluster randomized trial, evaluators often have access to an enumerated cohort representing the target population of clusters. Practicalities of conduct…

stat.ME2022

Extending inferences from a cluster randomized trial to a target population

Issa J. Dahabreh, Sarah E. Robertson, Jon A. Steingrimsson +2

We describe methods that extend (generalize or transport) causal inferences from cluster randomized trials to a target population of clusters, under a general nonparametric model t…

stat.ME2022★ 3 cited

Learning about treatment effects in a new target population under transportability assumptions for relative effect measures

Issa J. Dahabreh, Sarah E. Robertson, Jon A. Steingrimsson

Epidemiologists and applied statisticians often believe that relative effect measures conditional on covariates, such as risk ratios and mean ratios, are ``transportable'' across p…