Interpreting epidemiological data requires a nuanced understanding of context. Researchers must consider factors like confounding variables, which can obscure true relationships between variables. They also need to account for effect modification, where the effect of an exposure on an outcome differs among subgroups. Proper interpretation ensures that findings are valid and applicable to real-world scenarios.
