Before revision:  In this sense, generalisability may serve as a guiding principle when defining relevant variables and can be used to partially compensate for the lack of interventional data.
After revision:  In this sense, assessing generalisability may be useful when defining relevant variables and can be used to partially compensate for the lack of interventional data.