10 citations · 21 across the 9 of their papers we have counts for
12 papers · 1 filter
Sensitivity analysis for studies transporting prediction models
Jon A. Steingrimsson, Sarah E. Robertson, Issa J. Dahabreh
We consider the estimation of measures of model performance in a target population when covariate and outcome data are available on a sample from some source population and covaria…
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…
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…
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…
Regression-based estimation of heterogeneous treatment effects when extending inferences from a randomized trial to a target population
Sarah E Robertson, Jon A Steingrimsson, Issa J Dahabreh
Methods for extending -- generalizing or transporting -- inferences from a randomized trial to a target population involve conditioning on a large set of covariates that is suffici…
Estimating subgroup effects in generalizability and transportability analyses
Sarah E. Robertson, Jon A. Steingrimsson, Nina R. Joyce +2
Methods for extending -- generalizing or transporting -- inferences from a randomized trial to a target population involve conditioning on a large set of covariates that is suffici…