6 citations · 22 across the 12 of their papers we have counts for
16 papers
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…
Robust Estimation of Loss-Based Measures of Model Performance under Covariate Shift
Samantha Morrison, Constantine Gatsonis, Issa J. Dahabreh +2
We present methods for estimating loss-based measures of the performance of a prediction model in a target population that differs from the source population in which the model was…
Systematically Missing Data in Causally Interpretable Meta-Analysis
Jon A. Steingrimsson, David H. Barker, Ruofan Bie +1
Causally interpretable meta-analysis combines information from a collection of randomized controlled trials to estimate treatment effects in a target population in which experiment…
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…
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…