22 citations · 49 across the 17 of their papers we have counts for
19 papers · 1 filter
Interpretable meta-analysis of model or marker performance
Jon A. Steingrimsson, Lan Wen, Sarah Voter +1
Conventional meta analysis of model performance conducted using datasources from different underlying populations often result in estimates that cannot be interpreted in the contex…
Estimating and evaluating counterfactual prediction models
Christopher B. Boyer, Issa J. Dahabreh, Jon A. Steingrimsson
Counterfactual prediction methods are required when a model will be deployed in a setting where treatment policies differ from the setting where the model was developed, or when a…
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…
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…
Selection on treatment in the target population of generalizabillity and transportability analyses
Yu-Han Chiu, Issa J. Dahabreh
Investigators are increasingly using novel methods for extending (generalizing or transporting) causal inferences from a trial to a target population. In many generalizability and…