A directed acyclic graph for interactions

ConclusionsThe IDAG allows for a both intuitive and stringent way of illustrating interactions. It helps to distinguish between causal and non-causal mechanisms behind effect variation. Conclusions about how to empirically estimate interactions can be drawn —as well as conclusions about how to achieve generalizability in contexts where interest lies in estimating an overall effect.

Source: International Journal of Epidemiology - November 22, 2020 Category: Epidemiology Source Type: research