A Practical Example Demonstrating the Utility of Single-world Intervention Graphs

Single-world intervention graphs—which integrate the potential outcomes framework explicitly into causal diagrams—had been developed theoretically but lacked a practical worked example demonstrating their utility for identifying causal effects in the presence of selection bias.

Target RWE researchers and UNC collaborators published a practical example in Epidemiology demonstrating how SWIGs supplement traditional causal DAGs to reveal identifiability conditions necessary to estimate treatment effects from observed data in a vaccine trial with dropout.

Providing an accessible SWIG worked example in a leading journal advances adoption of this causal tool among epidemiologists and positions Target RWE's team at the frontier of causal diagram methodology development.

SWIG practical example for causal effect identification in observational settings with selection bias, Causal diagram methodology contribution for treatment effect identification in pharma RWE programs