2 papers
stat.ME2022
Individualized treatment effect was predicted best by modeling baseline risk in interaction with treatment assignment
Alexandros Rekkas, Peter R. Rijnbeek, David M. Kent +2
Objective: To compare different risk-based methods for optimal prediction of treatment effects. Methods: We simulated RCT data using diverse assumptions for the average treatment e…
stat.ME2020
A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases
Alexandros Rekkas, David van Klaveren, Patrick B. Ryan +3
The Predictive Approaches to Treatment Effect Heterogeneity statement focused on baseline risk as a robust predictor of treatment effect and provided guidance on risk-based assessm…