1. Formulating Hypotheses: Initially, researchers must have a theoretical basis for believing that an interaction might exist. This often comes from prior research or biological plausibility.
2. Data Collection: Collecting data that captures all relevant exposures and outcomes is essential.
3. Statistical Analysis: Various statistical methods can be employed to detect interactions. Common methods include stratified analysis, multivariable regression models, and interaction terms in regression models.
