4 papers
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
Rickard Karlsson, Piersilvio De Bartolomeis, Issa J. Dahabreh +1
Randomized trials are typically designed to detect average treatment effects but often lack the statistical power to uncover individual-level treatment effect heterogeneity, limiti…
Qini Curve Estimation under Clustered Network Interference
Rickard Karlsson, Bram van den Akker, Felipe Moraes +2
Qini curves are a widely used tool for assessing treatment policies under allocation constraints as they visualize the incremental gain of a new treatment policy versus the cost of…
Robust integration of external control data in randomized trials
Rickard Karlsson, Guanbo Wang, Piersilvio De Bartolomeis +2
One approach for increasing the efficiency of randomized trials is the use of "external controls" -- individuals who received the control treatment studied in the trial during rout…
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
Rickard K. A. Karlsson, Jesse H. Krijthe
A major challenge in estimating treatment effects in observational studies is the reliance on untestable conditions such as the assumption of no unmeasured confounding. In this wor…