3 citations · 4 across the 5 of their papers we have counts for
5 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…
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…
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…
Detecting hidden confounding in observational data using multiple environments
Rickard K. A. Karlsson, Jesse H. Krijthe
A common assumption in causal inference from observational data is that there is no hidden confounding. Yet it is, in general, impossible to verify this assumption from a single da…