Detecting interaction effects involves statistical analysis. Common methods include:
- Stratified Analysis: This involves dividing the data into subgroups based on one of the exposures and examining the effect of the other exposure within each subgroup. - Multivariable Models: Including interaction terms in regression models can help identify whether the effect of one exposure depends on another. - Statistical Tests: Tests like the likelihood ratio test can compare models with and without interaction terms to determine if the interaction significantly improves model fit.
