New framework detects treatment effects more efficiently, improving societal outcomes.
The article presents a new way to test models that study the effects of continuous treatments. The researchers developed a test that can detect deviations from the null model efficiently. Their method is more effective than previous ones and can identify small changes in the treatment's impact. Through simulations, they showed that their test works well in practical situations.